Read the Docs build information Build id: 473162 Project: feature-labs-inc-evalml Version: latest Commit: a5e6c50e39f7bf1238343f7c5018f395704b8433 Date: 2020-11-06T20:48:09.790162Z State: finished Success: True [rtd-command-info] start-time: 2020-11-06T21:00:12.674002Z, end-time: 2020-11-06T21:00:14.805445Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.113' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-11-06T21:00:15.242136Z, end-time: 2020-11-06T21:00:15.454108Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 216c8a1f Add TimeSeriesRegression problem type (#1386) [rtd-command-info] start-time: 2020-11-06T21:00:16.007268Z, end-time: 2020-11-06T21:00:16.090554Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-06T21:00:17.472625Z, end-time: 2020-11-06T21:00:23.897785Z, duration: 6, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.9' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-06T21:00:24.010885Z, end-time: 2020-11-06T21:00:25.117721Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-06T21:00:25.225653Z, end-time: 2020-11-06T21:00:38.725889Z, duration: 13, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.tar.gz (818 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.1-py2.py3-none-any.whl (13 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.2-py3-none-any.whl (948 kB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting pytz>=2015.7 Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23754 sha256=f1a3f4c6fcc5bd895b1472f4dbb69949aef71ec764cd5992e8f87c66db43372d Stored in directory: /tmp/pip-ephem-wheel-cache-q7urqjyg/wheels/16/03/37/f0a64ab894c9102906f192db1a4071b7592292ad661563c69b Building wheel for future (setup.py): started Building wheel for future (setup.py): finished with status 'done' Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491059 sha256=f6bd332c43916027b6391b5fd3af61a60d81bea0dc955e3aaf164d02102dc8e6 Stored in directory: /tmp/pip-ephem-wheel-cache-q7urqjyg/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, imagesize, MarkupSafe, Jinja2, Pygments, certifi, urllib3, chardet, idna, requests, six, pyparsing, packaging, pytz, babel, snowballstemmer, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.2 alabaster-0.7.12 babel-2.8.0 certifi-2020.6.20 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.4 readthedocs-sphinx-ext-2.1.1 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.25.11 [rtd-command-info] start-time: 2020-11-06T21:00:38.869991Z, end-time: 2020-11-06T21:02:19.517951Z, duration: 100, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.16.4 Downloading numpy-1.19.4-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) Collecting pandas>=0.25.0 Downloading pandas-1.1.4-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.4-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn>=0.23 Downloading scikit_learn-0.23.2-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.7.3.tar.gz (465 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting shap>=0.35.0 Downloading shap-0.37.0.tar.gz (326 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork>=0.0.3 Downloading woodwork-0.0.4-py3-none-any.whl (45 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.21.0-py3-none-any.whl (293 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting plotly>=4.2.1 Downloading plotly-4.12.0-py2.py3-none-any.whl (13.1 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.2-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting graphviz>=0.13 Downloading graphviz-0.14.2-py2.py3-none-any.whl (18 kB) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.15.0) (2020.4) Collecting joblib>=0.11 Downloading joblib-0.17.0-py3-none-any.whl (301 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.51.0-py2.py3-none-any.whl (70 kB) Collecting slicer==0.0.3 Downloading slicer-0.0.3-py3-none-any.whl (11 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting distributed>=2.12.0 Downloading distributed-2.30.1-py3-none-any.whl (656 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2.30.0-py3-none-any.whl (848 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.3.1.tar.gz (269 kB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.15.0) (1.15.0) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting llvmlite<0.35,>=0.34.0.dev0 Downloading llvmlite-0.34.0-cp37-cp37m-manylinux2010_x86_64.whl (24.6 MB) Collecting setuptools Downloading setuptools-50.3.2-py3-none-any.whl (785 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.4-py3-none-any.whl (91 kB) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting regex Downloading regex-2020.10.28-cp37-cp37m-manylinux2014_x86_64.whl (721 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.5-py3-none-any.whl (9.5 MB) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.8-py3-none-any.whl (355 kB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.15.0) (2.7.2) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2.4.7) Collecting pillow>=6.2.0 Downloading Pillow-8.0.1-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2020.6.20) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Collecting pyzmq>=13 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (2.11.2) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (1.1.1) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, pyyaml, nltk, retrying, locket, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.15.0-py3-none-any.whl size=5996368 sha256=43b84f7d4c9a2b699a887d0d081168d19353687fa32f68346480078d33762235 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/9e/21/10/381af54b3fd898f3030a593880d99f016a134a0a141dcf2f28 Building wheel for psutil (setup.py): started Building wheel for psutil (setup.py): finished with status 'done' Created wheel for psutil: filename=psutil-5.7.3-cp37-cp37m-linux_x86_64.whl size=285331 sha256=adcb81c30ef5e9e54e4e806c4ece3636e40e0f33d97ad9f3c7341f23c6dcb63a Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/f0/4b/57/d037639271e326da3e80e0ddc37bd3d5da7bbf48b3173be557 Building wheel for requirements-parser (setup.py): started Building wheel for requirements-parser (setup.py): finished with status 'done' Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7656 sha256=c8a184c36a2c74e4c94dc64672ff41cd8d686ecbace296dc4c7bdf99a546d3d8 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/40/e4/ca/8af24ee94c3863d620d6a52793d82930f4d1d3515a5121d495 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.37.0-cp37-cp37m-linux_x86_64.whl size=468585 sha256=65579aa0aafeb12c24944d95486face6bb02159648fb6f3d8e01c1285552a250 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/df/b8/18/2c0a6105152e62dd9a7cf47b5110b9cedb0c8739babdef64b7 Building wheel for pyyaml (setup.py): started Building wheel for pyyaml (setup.py): finished with status 'done' Created wheel for pyyaml: filename=PyYAML-5.3.1-cp37-cp37m-linux_x86_64.whl size=44619 sha256=9a43d23d16d929363f1989b8100641eedc0d98f1c8dfb7e5f1b5a78393416893 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434673 sha256=c637e33b0cc243cb3337d1544c15cb5c6caa955b5c791c9efdcf4b5a8cf3f2a4 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 Building wheel for retrying (setup.py): started Building wheel for retrying (setup.py): finished with status 'done' Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11429 sha256=81b4fb6fa6ba51e2c716f4507b0c2fddcc1328eaa9b3534febf6d8da3a09f617 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf Building wheel for locket (setup.py): started Building wheel for locket (setup.py): finished with status 'done' Created wheel for locket: filename=locket-0.2.0-py3-none-any.whl size=4040 sha256=444890c952b5b41b0879e25b1aaad9872a87d479229e767e0bf86b8dcfb6f0e2 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-linux_x86_64.whl size=115301 sha256=e4dc945c08fe2255f0e3d27d39f46111ddbc5d496463e49052545a785e784279 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/a5/52/bf/71258a1d7b3c8cbe1ee53f9314c6f65f20385481eaee573cc5 Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7991 sha256=8fe54c18efff31f4d1f531c50eadf9100e0b1de7fb76e3eea06ecf5e87b2f1f7 Stored in directory: /tmp/pip-ephem-wheel-cache-fi2tb26j/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000 Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying locket pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, joblib, threadpoolctl, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, llvmlite, setuptools, numba, shap, texttable, woodwork, toolz, fsspec, locket, partd, dask, heapdict, zict, tblib, msgpack, tornado, sortedcontainers, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, ptyprocess, pexpect, wcwidth, prompt-toolkit, ipython-genutils, traitlets, parso, jedi, pickleshare, decorator, backcall, ipython, jupyter-core, pyzmq, jupyter-client, ipykernel, Send2Trash, webencodings, bleach, testpath, mistune, jupyterlab-pygments, zipp, importlib-metadata, attrs, pyrsistent, jsonschema, nbformat, pandocfilters, defusedxml, async-generator, nest-asyncio, nbclient, entrypoints, nbconvert, pycparser, cffi, argon2-cffi, terminado, prometheus-client, notebook, widgetsnbextension, ipywidgets, xgboost, cycler, kiwisolver, pillow, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.3.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.1 entrypoints-0.3 evalml-0.15.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.5 numba-0.51.2 numpy-1.19.4 pandas-1.1.4 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 setuptools-50.3.2 shap-0.37.0 slicer-0.0.3 sortedcontainers-2.2.2 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.1 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-06T21:02:19.705484Z, end-time: 2020-11-06T21:02:31.881925Z, duration: 12, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 1)) (1.19.4) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.4) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.4) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.3) Requirement already satisfied: requirements-parser>=0.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.37.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: woodwork>=0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 14)) (0.21.0) Requirement already satisfied: nlp-primitives>=1.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 15)) (1.1.0) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.12.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.14.2) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (7.19.0) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Requirement already satisfied: PyYAML==5.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 7)) (5.3.1) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.4) Requirement already satisfied: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.17.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.51.0) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.0) Requirement already satisfied: distributed>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.1) Requirement already satisfied: nltk>=3.4.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (3.5) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.8) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.3.0) Collecting py>=1.5.0 Downloading py-1.9.0-py2.py3-none-any.whl (99 kB) Collecting pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) Collecting more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.6.0-py3-none-any.whl (45 kB) Collecting execnet>=1.1 Downloading execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting pytest-forked Downloading pytest_forked-1.3.0-py2.py3-none-any.whl (4.7 kB) Collecting coverage>=4.4 Downloading coverage-5.3-cp37-cp37m-manylinux1_x86_64.whl (229 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (3.0.8) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.0) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.4.2) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.8.0) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.2) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.24.0) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Collecting pycodestyle<2.6.0,>=2.5.0 Downloading pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Collecting mccabe<0.7.0,>=0.6.0 Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.6.0) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (1.4.3) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.6.3) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (3.2.1) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.4.4) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from numba->shap>=0.35.0->-r core-requirements.txt (line 11)) (0.34.0) Requirement already satisfied: partd>=0.3.10; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.1.0) Requirement already satisfied: toolz>=0.8.2; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.11.1) Requirement already satisfied: fsspec>=0.6.0; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.8.4) Requirement already satisfied: tblib>=1.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.7.0) Requirement already satisfied: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.0.0) Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.2.2) Requirement already satisfied: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (6.1) Requirement already satisfied: msgpack>=0.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.0) Requirement already satisfied: regex in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.10.28) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.1.5) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from traitlets>=4.3.1->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.2.0) Requirement already satisfied: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2020.6.20) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2.4.7) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (0.10.0) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jedi>=0.10->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.1) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.5) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pexpect>4.3; sys_platform != "win32"->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.6.0) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.25.11) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2.10) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (3.0.4) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Jinja2>=2.3->Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.1) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.5.1) Requirement already satisfied: locket in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from partd>=0.3.10; extra == "dataframe"->dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.2.0) Requirement already satisfied: heapdict in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from zict>=0.1.3->distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.1) Requirement already satisfied: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.1) Requirement already satisfied: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.8.0) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (20.1.0) Requirement already satisfied: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.5.0) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.3) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.4.0) Requirement already satisfied: cffi>=1.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (2.20) Building wheels for collected packages: codecov, autopep8 Building wheel for codecov (setup.py): started Building wheel for codecov (setup.py): finished with status 'done' Created wheel for codecov: filename=codecov-2.1.0-py2.py3-none-any.whl size=15152 sha256=0537d194fc76a0351a043bc37195b7db9a5a2cde6a592e42b3cbec424f020252 Stored in directory: /tmp/pip-ephem-wheel-cache-crqiagao/wheels/8a/24/33/292f49f78eaf4a3dd0db5b46cc75bf33b2af4a90ceff600cfe Building wheel for autopep8 (setup.py): started Building wheel for autopep8 (setup.py): finished with status 'done' Created wheel for autopep8: filename=autopep8-1.4.3-py2.py3-none-any.whl size=42228 sha256=e6b239ae3bc9e6eb0822e9ba569fe7452006987f8ff783c53e5c9539e1c409e1 Stored in directory: /tmp/pip-ephem-wheel-cache-crqiagao/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: py, pluggy, atomicwrites, more-itertools, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, pyflakes, pycodestyle, mccabe, flake8, autopep8, isort, sphinxcontrib-devhelp, sphinxcontrib-htmlhelp, sphinxcontrib-jsmath, sphinxcontrib-applehelp, sphinxcontrib-qthelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 codecov-2.1.0 coverage-5.3 execnet-1.7.1 flake8-3.7.0 isort-4.3.4 mccabe-0.6.1 more-itertools-8.6.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.9.0 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 [rtd-command-info] start-time: 2020-11-06T21:03:01.276597Z, end-time: 2020-11-06T21:03:01.385747Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '216c8a1f', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-11-06T21:03:01.512515Z, end-time: 2020-11-06T21:31:41.568693Z, duration: 1720, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: 868 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 5%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 42%] generated/methods/evalml.objectives.Precision.score reading sources... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.R2.score reading sources... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 45%] generated/methods/evalml.objectives.Recall.score reading sources... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] demos/text_input writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 1%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_churn writing output... [ 2%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 5%] generated/evalml.objectives.AccuracyBinary writing output... [ 5%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 6%] generated/evalml.objectives.F1 writing output... [ 6%] generated/evalml.objectives.F1Macro writing output... [ 6%] generated/evalml.objectives.F1Micro writing output... [ 6%] generated/evalml.objectives.F1Weighted writing output... [ 7%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 7%] generated/evalml.objectives.MCCBinary writing output... [ 7%] generated/evalml.objectives.MCCMulticlass writing output... [ 7%] generated/evalml.objectives.MSE writing output... [ 7%] generated/evalml.objectives.MaxError writing output... [ 8%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 8%] generated/evalml.objectives.Precision writing output... [ 8%] generated/evalml.objectives.PrecisionMacro writing output... [ 8%] generated/evalml.objectives.PrecisionMicro writing output... [ 8%] generated/evalml.objectives.PrecisionWeighted writing output... [ 8%] generated/evalml.objectives.R2 writing output... [ 9%] generated/evalml.objectives.Recall writing output... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 9%] generated/evalml.objectives.RecallWeighted writing output... [ 9%] generated/evalml.objectives.RegressionObjective writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 9%] generated/evalml.objectives.get_all_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objectives writing output... [ 10%] generated/evalml.objectives.get_non_core_objectives writing output... [ 10%] generated/evalml.objectives.get_objective writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] generated/evalml.pipelines.RegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 11%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 12%] generated/evalml.pipelines.components.ComponentBase writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 13%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 13%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 14%] generated/evalml.pipelines.components.SelectColumns writing output... [ 14%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 15%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 17%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 23%] generated/methods/evalml.objectives.AUC.score writing output... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 31%] generated/methods/evalml.objectives.F1.score writing output... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MAE.score writing output... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MaxError.score writing output... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 42%] generated/methods/evalml.objectives.Precision.score writing output... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 44%] generated/methods/evalml.objectives.R2.score writing output... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 45%] generated/methods/evalml.objectives.Recall.score writing output... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 39%] evalml.objectives.utils highlighting module code... [ 40%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 41%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 42%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 43%] evalml.pipelines.classification_pipeline highlighting module code... [ 44%] evalml.pipelines.components.component_base highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_base highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 48%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 57%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 59%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 68%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 70%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 71%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 78%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 85%] evalml.pipelines.components.utils highlighting module code... [ 86%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 87%] evalml.pipelines.pipeline_base highlighting module code... [ 88%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search copying images... [ 16%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 33%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_33_0.svg copying images... [ 50%] images/evalml_horizontal.svg copying images... [ 66%] _build/doctrees-readthedocs/nbsphinx/start_22_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_16_0.svg copying static files... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2020-11-06T21:31:43.056054Z, end-time: 2020-11-06T21:57:33.681964Z, duration: 1550, exit-code: 0 python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v2.0.1 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: 868 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 5%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 42%] generated/methods/evalml.objectives.Precision.score reading sources... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.R2.score reading sources... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 45%] generated/methods/evalml.objectives.Recall.score reading sources... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.prediction_explanations.explain_prediction generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.calculate_percent_difference generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.CostBenefitMatrix generated/methods/evalml.objectives.CostBenefitMatrix.__init__ generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference generated/methods/evalml.objectives.CostBenefitMatrix.decision_function generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type generated/methods/evalml.objectives.CostBenefitMatrix.objective_function generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold generated/methods/evalml.objectives.CostBenefitMatrix.score generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.calculate_percent_difference generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.is_defined_for_problem_type generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.is_defined_for_problem_type generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.is_defined_for_problem_type generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionWeighted.objective_function generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.calculate_percent_difference generated/methods/evalml.objectives.Recall.decision_function generated/methods/evalml.objectives.Recall.is_defined_for_problem_type generated/methods/evalml.objectives.Recall.objective_function generated/methods/evalml.objectives.Recall.optimize_threshold generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.validate_inputs generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMicro.objective_function generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.validate_inputs generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMacro.objective_function generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.validate_inputs generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.is_defined_for_problem_type generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.is_defined_for_problem_type generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.is_defined_for_problem_type generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.MeanSquaredLogError.objective_function generated/methods/evalml.objectives.MeanSquaredLogError.score generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.calculate_percent_difference generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type generated/methods/evalml.objectives.MedianAE.objective_function generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.validate_inputs generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.calculate_percent_difference generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type generated/methods/evalml.objectives.MaxError.objective_function generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.validate_inputs generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type generated/methods/evalml.objectives.ExpVariance.objective_function generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.validate_inputs generated/evalml.objectives.RootMeanSquaredError generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredError.objective_function generated/methods/evalml.objectives.RootMeanSquaredError.score generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs generated/evalml.objectives.RootMeanSquaredLogError generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.objectives.get_all_objective_names generated/evalml.objectives.get_core_objectives generated/evalml.objectives.get_core_objective_names generated/evalml.objectives.get_non_core_objectives generated/evalml.objectives.get_objective generated/evalml.problem_types.handle_problem_types generated/evalml.problem_types.detect_problem_type generated/evalml.problem_types.ProblemTypes generated/evalml.model_family.handle_model_family generated/evalml.model_family.ModelFamily generated/evalml.tuners.Tuner generated/methods/evalml.tuners.Tuner.__init__ generated/methods/evalml.tuners.Tuner.add generated/methods/evalml.tuners.Tuner.is_search_space_exhausted generated/methods/evalml.tuners.Tuner.propose generated/evalml.tuners.SKOptTuner generated/methods/evalml.tuners.SKOptTuner.__init__ generated/methods/evalml.tuners.SKOptTuner.add generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted generated/methods/evalml.tuners.SKOptTuner.propose generated/evalml.tuners.GridSearchTuner generated/methods/evalml.tuners.GridSearchTuner.__init__ generated/methods/evalml.tuners.GridSearchTuner.add generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.GridSearchTuner.propose generated/evalml.tuners.RandomSearchTuner generated/methods/evalml.tuners.RandomSearchTuner.__init__ generated/methods/evalml.tuners.RandomSearchTuner.add generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.RandomSearchTuner.propose generated/evalml.data_checks.DataCheck generated/methods/evalml.data_checks.DataCheck.validate generated/evalml.data_checks.InvalidTargetDataCheck generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate generated/evalml.data_checks.HighlyNullDataCheck generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ generated/methods/evalml.data_checks.HighlyNullDataCheck.validate generated/evalml.data_checks.IDColumnsDataCheck generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.TargetLeakageDataCheck generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.ClassImbalanceDataCheck generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ generated/methods/evalml.data_checks.DefaultDataChecks.validate generated/evalml.data_checks.DataCheckMessage generated/methods/evalml.data_checks.DataCheckMessage.__init__ generated/methods/evalml.data_checks.DataCheckMessage.__str__ generated/methods/evalml.data_checks.DataCheckMessage.__eq__ generated/evalml.data_checks.DataCheckError generated/methods/evalml.data_checks.DataCheckError.__init__ generated/methods/evalml.data_checks.DataCheckError.__str__ generated/methods/evalml.data_checks.DataCheckError.__eq__ generated/evalml.data_checks.DataCheckWarning generated/methods/evalml.data_checks.DataCheckWarning.__init__ generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed release_notes resolving references... done writing... done copying images... [ 16%] images/evalml_horizontal.svg copying images... [ 33%] _build/doctrees/nbsphinx/start_22_0.svg copying images... [ 50%] demos/../_build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 66%] demos/../_build/doctrees/nbsphinx/demos_text_input_33_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_16_0.svg copying TeX support files... copying TeX support files... done build succeeded. The LaTeX files are in _build/latex. Run 'make' in that directory to run these through (pdf)latex (use `make latexpdf' here to do that automatically). WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2020-11-06T21:57:34.681088Z, end-time: 2020-11-06T21:57:34.783513Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2020-11-06T21:57:34.950196Z, end-time: 2020-11-06T21:57:51.869785Z, duration: 16, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Latexmk: applying rule 'pdflatex'... Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 4, chunk 1. Latexmk: This is Latexmk, John Collins, 1 January 2015, version: 4.41. File::Glob::glob() will disappear in perl 5.30. Use File::Glob::bsd_glob() instead. at /usr/bin/latexmk line 7482. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 311. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 311. [5] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 6 undefined on input line 355. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 6 undefine d on input line 453. [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 23 undefined on input line 2019. [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 39 undefined on input line 3424. [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 40 undefined on input line 3507. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 53 undefined on input line 4412. [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 55 undefined on input line 4532. [55] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 56 undefined on input line 4642. [56] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 57 undefined on input line 4733. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 57 undefined on input line 4733. [57] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 58 undefined on input line 4818. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 58 undefined on input line 4818. [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 60 undefined on input line 4897. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 60 undefined on input line 4900. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 60 undefined on input line 4968. [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `user_guide/components::doc' on page 64 undefine d on input line 5231. [64] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 65 undefine d on input line 5269. [65] [66] LaTeX Warning: Hyper reference `api_reference:components' on page 67 undefined on input line 5443. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 68 undefined on input line 5578. [68] [69] Underfull \vbox (badness 10000) detected at line 5841 [70] [71] [72] [73] [74] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 75 undefine d on input line 6291. [75] [76] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 77 undefined on input line 6395. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 77 undefined on inpu t line 6446. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 77 undefined on input line 6448. [77] Underfull \vbox (badness 10000) detected at line 6555 Overfull \vbox (8.28168pt too high) detected at line 6555 [78] [79] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 80 undefined on input line 6580 . Overfull \vbox (1.12581pt too high) detected at line 6636 [80] [81] Underfull \vbox (badness 10000) detected at line 6783 Overfull \vbox (2.68169pt too high) detected at line 6783 [82] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 83 undefine d on input line 6798. [83] Underfull \hbox (badness 10000) in paragraph at lines 6845--6846 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] Underfull \vbox (badness 1337) detected at line 7034 [85] [86] [87] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 88 undefine d on input line 7145. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 88 undefined on input line 7145. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 88 undefin ed on input line 7146. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 88 undefine d on input line 7151. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 88 undefined on input line 7151. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 88 undefined on input line 7156. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 88 undefined on input line 7161. [88] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 89 undefine d on input line 7176. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 89 undefin ed on input line 7181. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 89 undefined on input line 7186. [89] [90] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 91 undefined on input line 7217. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 91 undefined on input line 7222. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 91 undefined on input line 7227. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 91 undefined on input line 7232. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 91 undefined on input line 7237. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 7242. [91] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 92 undefined on input line 7386. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 92 undefined on input l ine 7391. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 92 undefined on input lin e 7396. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 92 undefined on input line 7401. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 92 undefined on input line 7406. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 7411. [92] [93] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 94 undefined on input line 7586. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 7591. Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a l- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 94 undefined on input line 7620. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 94 undefined on input line 7625. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 94 undefi ned on input line 7630. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 94 undefined on inp ut line 7635. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 94 undefined on input line 7640. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 94 undefined on input line 7645. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 94 undefined on input line 7650 . Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 7655. Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowe d_model_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 94 undefined on input line 7667. [94] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 95 undefined on input line 7670. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 95 undefined on input line 7710. Underfull \hbox (badness 7869) in paragraph at lines 7710--7714 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [95] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 96 undefined on input line 7772. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 96 undefined on input line 7836. [96] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 97 undefined on input line 7907. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 7971. [97] LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 98 un defined on input line 8002. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 8007. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 98 undefined on input line 8024. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 98 undefined on input line 8052. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 98 unde fined on input line 8057. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 8062. Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.__init__:evalml.automl.automl_algorithm.AutoMLAlgorithm.__ini t__' on page 99 undefined on input line 8091. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 99 undefined on input line 8096. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 99 undefined on input line 8101. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 8106. Underfull \hbox (badness 10000) in paragraph at lines 8113--8113 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 99 undefined on input line 8151. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 99 undefined on input line 8172. [99] Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 8208. Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.__init__:evalml.automl.automl_algorithm.IterativeAlgorithm .__init__' on page 100 undefined on input line 8245. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 100 undefined on input line 8250. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 100 undefined on input line 8255. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 8260. Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [100 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 101 undefined on input line 8315. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 101 undefined on input line 8336. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 8372. [101] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 102 undefined on input line 8406. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 102 undefined on input line 8411. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 102 undefined o n input line 8416. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 102 und efined on input line 8421. Underfull \hbox (badness 5908) in paragraph at lines 8423--8425 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion LaTeX Warning: Hyper reference `generated/evalml.pipelines.RegressionPipeline:e valml.pipelines.RegressionPipeline' on page 102 undefined on input line 8426. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 8431. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 8488. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 102 undefined on inpu t line 8509. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 102 undefined on input line 8514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 102 undefined on input line 8519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 102 undefined on inpu t line 8524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 102 undefined on input line 852 9. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 102 undefin ed on input line 8534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 102 undefined on input line 8539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 102 undefined on input line 8544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 102 undefined on input line 8 549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 102 undefined on input line 8554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 102 undefined on input line 8 559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 102 undefined on input line 8564. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 8569. [102 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [103] [104] [105] Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 8918. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 1 06 undefined on input line 8939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 106 und efined on input line 8944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 106 undefined on input line 8949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 1 06 undefined on input line 8954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 106 undefin ed on input line 8959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 106 undefined on input line 8964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 106 und efined on input line 8969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 106 undefined on input line 8974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 106 undef ined on input line 8979. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 106 undefined on input line 8984. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 106 undefined on input line 8989. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 106 undef ined on input line 8994. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 106 und efined on input line 8999. Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 9004. [106 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9100--9102 []\T1/ptm/m/n/10 by sorted(set(y)) [107] [108] [109] Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 9383. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 110 undefined on input line 9404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 110 undefined on input line 9409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 110 undefined on input line 9414 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 110 undefined on input line 9419. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 110 undefined on input line 9424. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 110 undefined on input line 9429. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 110 undefined on input line 9434. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 110 undefined on input line 9439. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 110 undefined on input line 9444. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 110 undefined on input line 9449. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 110 undefined on input line 9454. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 110 undefined on input line 9459. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 110 undefined on input line 9464. Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 9469. [110 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 9565--9567 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9636--9636 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 9788--9788 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 9843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 114 undefined on input line 9864. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 114 undefined on input line 9869. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 114 undefined on input l ine 9874. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 114 undefined on input line 9879. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 114 undefined on input line 9884. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 114 undefined on input line 9889. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 114 undefined on input line 9894. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 114 undefined on input line 9899. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 114 undefined on input line 9904. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 114 undefined on input line 9909. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 114 undefined on input line 9914. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 114 undefined on input line 9919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 114 undefined on input line 9924. Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 9929. [114 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10025--10027 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10096--10096 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [116] [117] Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 10298. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 118 undef ined on input line 10319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 118 undefined o n input line 10324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 118 undefined on input line 10329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 118 undef ined on input line 10334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 118 undefined on in put line 10339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 118 undefined on input line 10344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 118 undefined o n input line 10349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 118 undefined on input line 10354. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 118 undefined on input line 10359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 118 undefin ed on input line 10364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 118 undefined on input line 10369. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 118 undefined o n input line 10374. Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 10379. [118 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [119] [120] [121] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 122 undefined on input line 10689. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 122 undefined on in put line 10694. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 122 undefined on in put line 10699. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 122 undefin ed on input line 10704. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 10709. Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 10812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 22 undefined on input line 10833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 122 und efined on input line 10838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 122 undefined on input line 10843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 22 undefined on input line 10848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 122 undefin ed on input line 10853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 122 undefined on input line 10858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 122 und efined on input line 10863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 122 undefined on input line 10868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 122 undef ined on input line 10873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 122 undefined on input line 10878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 122 undefined on input line 10883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 122 undef ined on input line 10888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 122 und efined on input line 10893. [122 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 10898. [123] Underfull \hbox (badness 10000) in paragraph at lines 10994--10996 []\T1/ptm/m/n/10 by sorted(set(y)) [124] [125] [126 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 11308. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 127 undefined on input line 11329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 127 undefined on input line 11334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 127 undefined on input line 11339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 127 undefined on input line 11344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 127 undefined on input line 11349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 127 undefined on input line 11354. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 127 undefined on input line 11359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 127 undefined on input line 11364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 27 undefined on input line 11369. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 127 undefined on input line 11374. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 127 undefined on input line 11379. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 27 undefined on input line 11384. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 127 undefined on input line 11389. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 11394. [127] Underfull \hbox (badness 10000) in paragraph at lines 11490--11492 []\T1/ptm/m/n/10 by sorted(set(y)) [128] [129] [130 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 11809. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 131 undefined on input line 11830. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 131 undefined on input line 11835. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 131 undefined on input line 11840. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 131 undefined on input line 11845. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 131 undefined on input line 11850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 131 undefined on input line 11855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 131 undefined on input line 11860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 131 undefined on input line 11865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 31 undefined on input line 11870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 131 undefined on input line 11875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 131 undefined on input line 11880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 31 undefined on input line 11885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 131 undefined on input line 11890. Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 11895. [131] Underfull \hbox (badness 10000) in paragraph at lines 11991--11993 []\T1/ptm/m/n/10 by sorted(set(y)) [132] [133] [134] Underfull \hbox (badness 10000) in paragraph at lines 12214--12214 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 12305. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 135 undefined on input line 12326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 135 undefined on input line 12331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 135 undefined on input line 12336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 135 undefined on input line 12341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 135 undefined on input line 12346. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 135 undefined on input line 12351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 135 undefined on input line 12356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 135 undefined on input line 1236 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 135 undefined on input line 12366. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 135 undefined on input line 12371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 135 undefined on input line 12376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 135 undefined on input line 12381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 135 undefined on input line 12386. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 12391. [135 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 12487--12489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12558--12558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [137] [138] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 139 undefined on in put line 12726. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 139 undefin ed on input line 12731. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 12736. [139 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 12829. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 140 undefined on input line 12850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 140 undefined on input line 12855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 140 undefined on input line 12860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 140 undefined on input line 12865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 140 undefined on input line 12870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 140 undefined on input line 12875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 140 undefined on input line 12880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 140 undefined on input line 12885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 40 undefined on input line 12890. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 140 undefined on input line 12895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 40 undefined on input line 12900. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 140 undefined on input line 12905. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 12910. [140] [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13204--13204 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 13290. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 144 undefined on input line 13311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 144 undefined on input line 13316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 144 undefined on input line 13321. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 144 undefined on input line 13326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 144 undefined on input line 13331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 144 undefined on input line 13336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 144 undefined on input line 13341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 144 undefined on input line 1334 6. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 144 undefined on input line 13351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 144 undefined on input line 13356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 144 undefined on input line 13361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 144 undefined on input line 13366. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 13371. [144] [145] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13535--13535 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 147 undefined on input line 13681 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 47 undefined on input line 13686. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 147 undefined o n input line 13691. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 13696. Underfull \hbox (badness 10000) in paragraph at lines 13703--13703 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 147 undefined on input line 137 18. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 147 undefined on input line 13721. [147 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13743--13747 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 148 undefined on input line 13755. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 148 undefined on input line 13813. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 148 undefined on input line 13818. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 148 undefined on input line 138 23. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 13828. Underfull \hbox (badness 10000) in paragraph at lines 13835--13835 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 13835--13835 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.__init__:evalml.pipelines.components.ComponentBase.__init__' on pa ge 148 undefined on input line 13857. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 148 undefined on input line 13862. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 148 undefined on input line 13867. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 148 und efined on input line 13872. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 148 u ndefined on input line 13877. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 148 u ndefined on input line 13882. [148] Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 13887. Underfull \hbox (badness 10000) in paragraph at lines 13894--13894 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [149] Underfull \hbox (badness 10000) in paragraph at lines 14029--14029 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 14029--14029 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 1 50 undefined on input line 14060. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 150 und efined on input line 14065. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 50 undefined on input line 14070. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 150 undefin ed on input line 14075. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 150 undefined on input line 14080. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 150 undef ined on input line 14085. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 150 undef ined on input line 14090. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 150 undefined on input line 14095. [150 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 14100. [151] [152] Underfull \hbox (badness 10000) in paragraph at lines 14298--14298 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.__init__:evalml.pipelines.components.Estimator.__init__' on page 153 u ndefined on input line 14328. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 153 undefin ed on input line 14333. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 153 u ndefined on input line 14338. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 153 undefined o n input line 14343. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 153 undefined on input line 14348. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 153 und efined on input line 14353. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 153 undefined on input line 14358. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 153 undefined on input line 14363. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 14368. [153 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [154] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 155 undefined on input line 14570. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 155 undef ined on input line 14575. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 155 undefined on input line 14580. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 14585. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 155 undefined on input line 14596. [155 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 156 undefined on input line 14602. Underfull \hbox (badness 10000) in paragraph at lines 14614--14614 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 156 undefined on input line 14621. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 156 undefined on input line 14624. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 156 undefined on input line 14682. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 156 undefined on input line 14687. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 156 undefined on input line 14692. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 156 undefined on input line 14697. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 156 undefined on input line 14702. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 156 undefined on input line 14707. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 156 undefined on inpu t line 14712. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 156 undefined on input line 14717. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 156 undefined on input line 14722. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 156 undefined on in put line 14727. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 156 undefined on input line 14732. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 156 undefined on inpu t line 14737. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 14742. [156] Underfull \hbox (badness 10000) in paragraph at lines 14749--14749 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 14805. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 57 undefined on input line 14826. Underfull \hbox (badness 7576) in paragraph at lines 14828--14830 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.clone:evalml.pipelines.components.DropColumns.clone' on page 157 und efined on input line 14831. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 57 undefined on input line 14836. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 157 undefin ed on input line 14841. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 157 undefined on input line 14846. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 157 undef ined on input line 14851. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 157 undef ined on input line 14856. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 157 undefined on input line 14861. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 14866. [157] [158] Underfull \hbox (badness 10000) in paragraph at lines 15069--15069 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , [159 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 15125. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 160 undefined on input line 15146. Underfull \hbox (badness 7576) in paragraph at lines 15148--15150 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.clone:evalml.pipelines.components.SelectColumns.clone' on page 160 undefined on input line 15151. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 160 undefined on input line 15156. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 160 und efined on input line 15161. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 160 undefined on input line 15166. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 160 u ndefined on input line 15171. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 160 u ndefined on input line 15176. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 160 undefined on input line 15181. Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 15186. [160] [161] Underfull \hbox (badness 10000) in paragraph at lines 15389--15389 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15389--15389 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [162 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 15445. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 163 undefined on input line 15466. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 163 undefined on input line 15471. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 163 undefined on input line 15476. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 163 undefined on input line 15481. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 163 und efined on input line 15486. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 163 undefined on input line 15491. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 163 undefined on input line 15496. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 163 u ndefined on input line 15501. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 163 u ndefined on input line 15506. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 163 undefined on input line 15511. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 15516. [163] [164] [165] Underfull \hbox (badness 10000) in paragraph at lines 15784--15784 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (21.23323pt too wide) in paragraph at lines 15784--15784 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 15840. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 166 undefined on input line 15861. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 166 undefined on input line 15866. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 166 undefined on input line 15871. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 66 undefined on input line 15876. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 166 undefined on input line 15881. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 166 undefined on input line 15886. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 166 undefined on input line 15891. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 166 undefined on input line 15896. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 15901. Overfull \hbox (5.61217pt too wide) in paragraph at lines 15908--15908 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [166 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15913--15917 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [167] [168] Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 meric_impute_strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu - Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 16175. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 169 undef ined on input line 16196. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 169 undefined o n input line 16201. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 169 undef ined on input line 16206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 169 undefined on in put line 16211. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 169 undefined on input line 16216. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 169 undefined on input line 16221. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 169 undefined on input line 16226. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 169 und efined on input line 16231. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 16236. [169 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16243--16243 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , \ T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , [170] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16419--16421 [] [171] Underfull \hbox (badness 10000) in paragraph at lines 16457--16457 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16457--16457 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 16513. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 172 undefined on input line 16534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 172 undefined on input line 16539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 172 undefined on input line 16544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 172 und efined on input line 16549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 172 undefined on input line 16554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 172 u ndefined on input line 16559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 172 u ndefined on input line 16564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 172 undefined on input line 16569. [172 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 16574. [173] [174] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16753--16755 [] Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 16847. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 175 undefined on input line 16868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 75 undefined on input line 16873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 175 undefined on input line 16878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 175 u ndefined on input line 16883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 175 undefined on input line 16888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 175 undefined on input line 16893. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 175 undefined on input line 16898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 175 undefined on input line 16903. [175 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 16908. [176] [177] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17106--17106 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 17162. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 178 undefined on input line 17183. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 178 undefined on input line 17188. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 178 undefined on input line 17193. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 178 undefined on input line 17198. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 178 undefined on input line 17203. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 178 undefined on input line 17208. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 178 undefined on input line 17213. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 178 undefined on input line 17218. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 178 undefined on input line 17223. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 17228. [178 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [179] [180] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17442--17442 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 17498. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 181 undefined on input line 17519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 181 undefined on input line 17524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 181 undefined on input line 17529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 181 undefined on input line 17534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 181 undefined on input line 17539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 181 undefined on input line 17544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 181 undefined on input line 17549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 181 undefined on input line 17554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 181 undefined on input line 17559. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 17564. [181 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17778--17778 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 17834. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 184 undefined on input line 17855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 184 undefined on input line 17860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 184 undefined on input line 17865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 184 undefined on input line 17870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 184 undefined on input line 17875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 1 84 undefined on input line 17880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 1 84 undefined on input line 17885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 184 undefined on input line 17890. Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 17895. [184 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [185] [186] Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 18156. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 187 undefined on input line 18177. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 187 undefined on input line 18182. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 187 undefined on input line 18187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 187 undefined on input line 18192. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 187 undefined on input line 18197. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 187 undefined on input line 18202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 187 undefined on input line 18207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 187 undefined on input line 18212. Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 18217. [187 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 18426--18426 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 18482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 190 undefined on input line 18503. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 1 90 undefined on input line 18508. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 190 undefined on input line 18513. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 190 u ndefined on input line 18518. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 190 undefined on input line 18523. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 190 undefined on input line 18528. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 190 undefined on input line 18533. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 190 undefined on input line 18538. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 18543. [190 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [191] [192] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 193 undefined on input line 18773. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 193 undef ined on input line 18778. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 193 undef ined on input line 18783. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 193 u ndefined on input line 18788. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 193 undefined on input line 18793. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 193 undefined on input line 18798. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 193 undefined o n input line 18803. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 193 undefined on input line 18808. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 193 undefined on input line 18813. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 193 u ndefined on input line 18818. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 18823. Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [193 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 18910. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 194 undefined on input line 18931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 194 undefined on input line 18936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 194 undefined on input line 18941. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 194 undefined on input line 18946. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 194 undefined on input line 18951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 194 undefined on input line 18956. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 194 undefined on input line 18961. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 194 undefined on input line 18966. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 18971. Underfull \hbox (badness 10000) in paragraph at lines 18978--18978 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18978--18978 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [194] [195] Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 19224. [196 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 197 undefined on input line 19245. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 197 undefined on input line 19250. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 197 undefined on input line 19255. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 197 undefined on input line 19260. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 197 undefined on input line 19265. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 197 undefined on input line 19270. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 197 undefined on input line 19275. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 197 undefined on input line 19280. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 19285. [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 19538. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 199 undefined on input line 19559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 199 undefined on input line 19564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 199 undefined on input line 19569. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 199 undefined on input line 19574. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 199 undefined on input line 19579. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 199 undefined on input line 19584. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 199 undefined on input line 19589. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 199 undefined on input line 19594. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 19599. [199 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19606--19606 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19606--19606 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 19785--19785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19785--19785 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 19852. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 202 undefined on input line 19873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 202 undefined on input line 19878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 202 undefined on input line 19883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 202 undefined on input line 19888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 202 undefined on input line 19893. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 202 undefined on input line 19898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 202 undefined on input line 19903. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 202 undefined on input line 19908. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 19913. [202 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19920--19920 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [203] Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [204 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 20176. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 205 undefined on input line 20197. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 205 undefined on input line 20202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 205 undefined on input line 20207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 205 undefined on input line 20212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 205 undefined on input line 20217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 205 undefined on input line 20222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 205 undefined on input line 20227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 205 undefined on input line 20232. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 20237. Underfull \hbox (badness 10000) in paragraph at lines 20244--20244 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20244--20244 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [205] [206] Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [207 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 20490. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 208 undefined on input line 20511. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 208 undefined on input line 20516. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 208 undefined on input line 20521. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 208 undefined on input line 20526. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 208 undefined on input line 20531. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 208 undefined on input line 20536. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 208 undefined on input line 20541. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 208 undefined on input line 20546. Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 20551. Underfull \hbox (badness 10000) in paragraph at lines 20558--20558 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20558--20558 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 20814. [210 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 211 undefined on input line 20835. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 211 undefined on input line 20840. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 211 undefined on input line 20845. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 211 undefined on input line 20850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 211 undefined on input line 20855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 211 undefined on input line 20860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 211 undefined on input line 20865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 211 undefined on input line 20870. Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 20875. [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 21061--21061 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 21135. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 213 undefined on input line 21156. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 213 undefined on input line 21161. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 213 undefined on input line 21166. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 213 undefined on input line 21171. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 213 undefined on input line 21176. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 213 undefined on input line 21181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 213 undefined on input line 21186. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 213 undefined on input line 21191. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 21196. [213 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [214] [215] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21393--21393 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 21460. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 216 undefined on input line 21481. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 216 undefined on input line 21486. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 216 undefined on input line 21491. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 216 undefined on input line 21496. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 216 undefined on input line 21501. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 216 undefined on input line 21506. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 216 undefined on input line 21511. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 216 undefined on input line 21516. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 21521. [216 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21528--21528 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 217 undefined on input line 21533. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 217 undefined on input line 215 37. [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [219 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 21804. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 220 undefined on input line 21825. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 220 undefined on input line 21830. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 220 undefined on input line 21835. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 220 undefined on input line 21840. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 220 undefined on input line 21845. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 220 undefined on input line 21850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 220 undefined on input line 21855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 220 undefined on input line 21860. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 21865. Underfull \hbox (badness 5147) in paragraph at lines 21872--21872 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21872--21872 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [220] [221] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 222 undefined o n input line 22069. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 222 undefin ed on input line 22074. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 222 undefined on in put line 22079. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 222 undefin ed on input line 22084. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 222 und efined on input line 22089. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 222 undefined on input line 22094. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 222 undefined o n input line 22099. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 22 undefined on input line 22104. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 222 und efined on input line 22109. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 22114. Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [222 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 22201. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 223 undefined on input line 22222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 223 undefined on input line 22227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 223 undefined on input line 22232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 223 undefined on input line 22237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 223 undefined on input line 22242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 223 undefined on input line 22247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 223 undefined on input line 22252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 223 undefined on input line 22257. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 22262. Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [223] [224] Underfull \hbox (badness 10000) in paragraph at lines 22448--22448 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22448--22448 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 22448--22448 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 22515. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 225 undefined on input line 22536. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 225 undefined on input line 22541. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 225 undefined on input line 22546. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 225 undefined on input line 22551. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 225 undefined on input line 22556. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 225 undefined on input line 22561. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 225 undefined on input line 22566. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 225 undefined on input line 22571. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 22576. [225 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [226] [227] Underfull \hbox (badness 10000) in paragraph at lines 22762--22762 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 22762--22762 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 22829. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 228 undefined on input line 22850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 228 undefined on input line 22855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 228 undefined on input line 22860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 228 undefined on input line 22865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 28 undefined on input line 22870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 228 undefined on input line 22875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 228 undefined on input line 22880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 28 undefined on input line 22885. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 22890. [228 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [229] Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [230 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 23143. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 231 undefined on input line 23164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 231 undefined on input line 23169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 231 undefined on input line 23174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 231 undefined on input line 23179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 231 undefined on input line 23184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 231 undefined on input line 23189. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 231 undefined on input line 23194. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 231 undefined on input line 23199. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 23204. Underfull \hbox (badness 10000) in paragraph at lines 23211--23211 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23211--23211 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [233 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 23457. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 234 undefined on input line 23478. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 234 undefined on input line 23483. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 234 undefined on input line 23488. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 234 undefined on input line 23493. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 234 undefined on input line 23498. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 234 undefined on input line 23503. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 234 undefined on input line 23508. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 234 undefined on input line 23513. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 23518. Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234] [235] Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 23781. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 236 undefined on input line 23802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 236 undefined on input line 23807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 236 undefined on input line 23812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 2 36 undefined on input line 23817. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 236 undefined on input line 23822. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 236 undefined on input line 23827. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 236 undefined on input line 23832. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 236 undefined on input line 23837. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 23842. [236 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 24028--24028 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 24097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 239 undefined on input line 24118. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 239 undefined on input line 24123. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 239 undefined on input line 24128. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 239 undefined on input line 24133. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 239 undefined on input line 24138. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 239 undefined on input line 24143. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 239 undefined on input line 24148. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 239 undefined on input line 24153. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 24158. [239 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [240] [241] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24355--24355 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 24422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 242 undefined on input line 24443. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 242 undefined on input line 24448. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 242 undefined on input line 24453. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 242 undefined on input line 24458. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 242 undefined on input line 24463. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 242 undefined on input line 24468. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 242 undefined on input line 24473. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 242 undefined on input line 24478. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 24483. [242 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24490--24490 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 243 undefined on input line 24495. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 243 undefined on input line 244 99. [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 24766. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 245 undefined on input line 24787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 245 undefined on input line 24792. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 245 undefined on input line 24797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 245 undefined on input line 24802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 245 undefined on input line 24807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 245 undefined on input line 24812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 245 undefined on input line 24817. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 245 undefined on input line 24822. [245 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 24827. Underfull \hbox (badness 10000) in paragraph at lines 24834--24834 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24834--24834 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [246] [247] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 248 undefined on in put line 25032. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 248 undefined on input line 25037. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 248 und efined on input line 25042. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 248 undefined on input line 25047. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 248 undefined on input line 25052 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 248 undefined on inpu t line 25057. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 248 und efined on input line 25062. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 248 undefined on input line 25067. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 248 undefined on input line 25072. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 248 undefined on input line 25077. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 248 undefined on input line 25082. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 248 undefined on input line 25087. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 25092. Underfull \hbox (badness 10000) in paragraph at lines 25099--25099 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- [248 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25130--25130 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [249] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25244--25244 [] Underfull \hbox (badness 10000) in paragraph at lines 25244--25244 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25245--25245 [] Underfull \hbox (badness 10000) in paragraph at lines 25245--25245 Underfull \hbox (badness 10000) in paragraph at lines 25278--25278 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 25278--25278 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [250] Underfull \hbox (badness 10000) in paragraph at lines 25309--25309 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 25309--25309 \T1/ptm/m/it/10 ize_method='true'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 25342--25342 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25342--25342 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 251 undefined on input line 25347. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 251 undefined on input line 25356. [251] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 252 undefined on input line 25388. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 252 undefined on input line 25397. Underfull \hbox (badness 10000) in paragraph at lines 25457--25457 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25457--25457 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 252 undefined on input line 25462. [252] Underfull \hbox (badness 10000) in paragraph at lines 25491--25491 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 253 undefined on input line 25537. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 253 undefined on input line 25542. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst:evalml.model_understanding.predict ion_explanations.explain_predictions_best_worst' on page 253 undefined on input line 25547. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 25552. Overfull \hbox (9.96457pt too wide) in paragraph at lines 25559--25559 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [253] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 254 undefined on input line 25566. Overfull \hbox (15.96457pt too wide) in paragraph at lines 25600--25600 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 254 undefined on input line 25607. Overfull \hbox (94.49048pt too wide) in paragraph at lines 25630--25632 [] [254] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25646--25646 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 255 undefined on input line 25653. Overfull \hbox (102.73972pt too wide) in paragraph at lines 25684--25687 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 255 undefined on input line 25720. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 255 undefin ed on input line 25725. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 255 undefined on input line 25730. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 255 undefined on input line 257 35. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 25740. [255] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 256 undefined on input line 25769. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.is_defined_for_problem_type:evalml.objectives.ObjectiveBase.is_defined_for_p roblem_type' on page 256 undefined on input line 25774. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 256 undefined on input line 25779. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 256 undefined on input line 25784. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 256 undefined on input line 25789. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 25794. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25816--25818 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25845--25845 [] Underfull \hbox (badness 10000) in paragraph at lines 25845--25845 [256] [257 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 258 undefined on input l ine 25954. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 258 undefined on input line 25959. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.is_defined_for_problem_type:evalml.objectives.BinaryClassifi cationObjective.is_defined_for_problem_type' on page 258 undefined on input lin e 25964. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 258 undefined on input line 25969. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 258 undefined on input line 25974. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 258 undefined on input line 25979. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 258 undefined on input line 25984. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 25989. Overfull \hbox (27.03467pt too wide) in paragraph at lines 25996--25996 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25996--25996 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25996--25996 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26011--26013 [] Underfull \hbox (badness 10000) in paragraph at lines 26030--26030 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , [258] Overfull \hbox (57.78452pt too wide) in paragraph at lines 26058--26058 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26067--26067 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26067--26067 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26068--26068 [] Underfull \hbox (badness 10000) in paragraph at lines 26068--26068 [259] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 260 undefined on input line 26207. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.is_defined_for_problem_type:evalml.objectives.Multiclass ClassificationObjective.is_defined_for_problem_type' on page 260 undefined on i nput line 26212. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 260 undefined on input line 26217. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 260 undefined on input line 26222. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 260 undefined on input line 26227. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 26232. Overfull \hbox (51.03467pt too wide) in paragraph at lines 26239--26239 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26239--26239 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26239--26239 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [260 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26254--26256 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 26273--26273 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26282--26282 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26282--26282 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26282--26282 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 26283--26283 [] Underfull \hbox (badness 10000) in paragraph at lines 26283--26283 [261] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 262 undefined on input line 26394. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.is_defined_for_problem_type:evalml.objectives.RegressionObjective.is_d efined_for_problem_type' on page 262 undefined on input line 26399. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 262 undefined on input line 26404. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 262 undefin ed on input line 26409. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 262 undefined on input line 26414. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 26419. Underfull \hbox (badness 10000) in paragraph at lines 26426--26426 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [262 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26441--26443 [] Underfull \hbox (badness 10000) in paragraph at lines 26469--26469 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26470--26470 [] Underfull \hbox (badness 10000) in paragraph at lines 26470--26470 [263] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 264 undefined on input line 26570. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 264 undefined on input line 26575. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 264 undefined on input line 26580. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 26585. Underfull \hbox (badness 10000) in paragraph at lines 26592--26592 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 264 undefined on input li ne 26614. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 264 undefined on input line 26619. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 264 und efined on input line 26624. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.i s_defined_for_problem_type:evalml.objectives.FraudCost.is_defined_for_problem_t ype' on page 264 undefined on input line 26629. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 264 u ndefined on input line 26634. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 264 u ndefined on input line 26639. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 264 undefined on input line 266 44. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 264 undefin ed on input line 26649. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 26654. [264 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26707--26709 [] [265] [266] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 267 undefined on inpu t line 26906. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 267 undefined on input line 26911. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 267 undefined on input line 26916. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .is_defined_for_problem_type:evalml.objectives.LeadScoring.is_defined_for_probl em_type' on page 267 undefined on input line 26921. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 67 undefined on input line 26926. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 67 undefined on input line 26931. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 267 undefined on input line 26936. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 267 und efined on input line 26941. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 26946. [267 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26990--26992 [] [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 27166--27166 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.__init__:evalml.objectives.CostBenefitMatrix.__init__' on page 270 undef ined on input line 27190. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 270 undefined on input line 27195. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 270 undefined on input line 27200. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.is_defined_for_problem_type:evalml.objectives.CostBenefitMatrix.is_defin ed_for_problem_type' on page 270 undefined on input line 27205. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 270 undefined on input line 27210. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 270 undefined on input line 27215. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 270 undefined o n input line 27220. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 270 undefined on input line 27225. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 27230. [270 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27265--27265 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27280--27282 [] [271] [272] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 273 undefined on input line 27472. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 273 undefined on input line 27477 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 273 undefined on input line 27482. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 273 undefined on input line 27487. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 273 undefined on input line 27492. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 273 undefined on input line 27497. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 273 undefined on input li ne 27502. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 273 undefined on input line 27507. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 273 undefined on input line 27512. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 273 undefined on input line 27517. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 273 undefined on input line 27522. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 273 undefined on input line 27527. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 273 undefined on input line 27532. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 273 undefined on input line 27537. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 273 undefined on input line 27542. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 273 undefined on input line 27547. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 273 undefined on input line 27552. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 273 undefined on input line 27557. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 273 undefined on input line 27562. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 273 undefined on input line 27567. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 273 undefined on input line 27572. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 273 undefined on input line 27577. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 273 undefined on input line 27582. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 273 undefined on input line 27587. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 27592. [273 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 274 undefined on input line 27621. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 274 undefined on input line 27626. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.is_defined_for_problem_type:evalml.objectives.AccuracyBinary.is_defined_for _problem_type' on page 274 undefined on input line 27631. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 274 undefined on input line 27636. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 274 undefined on input line 27641. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 274 undefined on inpu t line 27646. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 74 undefined on input line 27651. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 27656. Underfull \hbox (badness 10000) in paragraph at lines 27663--27663 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27678--27680 [] [274] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27735--27735 [] Underfull \hbox (badness 10000) in paragraph at lines 27735--27735 [275] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 276 undefined on input line 27869. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.is_defined_for_problem_type:evalml.objectives.AccuracyMulticlass.is_def ined_for_problem_type' on page 276 undefined on input line 27874. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 276 undefined on input line 27879. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 276 undefined on input line 27884. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 276 undefined on input line 27889. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 27894. Underfull \hbox (badness 10000) in paragraph at lines 27901--27901 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [276 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27916--27918 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27945--27945 [] Underfull \hbox (badness 10000) in paragraph at lines 27945--27945 [277] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 278 undefined on input line 28051. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 278 undefined on in put line 28056. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.is_defi ned_for_problem_type:evalml.objectives.AUC.is_defined_for_problem_type' on page 278 undefined on input line 28061. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 278 undefined on input line 28066. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 278 undefined on input line 28071. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 278 undefined on input line 28076. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 278 undefined on input line 28081. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 28086. [278 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28108--28110 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28165--28165 [] Underfull \hbox (badness 10000) in paragraph at lines 28165--28165 [279] [280] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 281 undefined on input line 28299. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.is _defined_for_problem_type:evalml.objectives.AUCMacro.is_defined_for_problem_typ e' on page 281 undefined on input line 28304. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 281 und efined on input line 28309. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 281 undefined on input line 28314 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 281 undefined on input line 28319. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 28324. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28346--28348 [] [281 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28375--28375 [] Underfull \hbox (badness 10000) in paragraph at lines 28375--28375 [282] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 283 undefined on input line 28481. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.is _defined_for_problem_type:evalml.objectives.AUCMicro.is_defined_for_problem_typ e' on page 283 undefined on input line 28486. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 283 und efined on input line 28491. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 283 undefined on input line 28496 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 283 undefined on input line 28501. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 28506. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28528--28530 [] [283 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28557--28557 [] Underfull \hbox (badness 10000) in paragraph at lines 28557--28557 [284] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 285 undefined on input line 28663. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .is_defined_for_problem_type:evalml.objectives.AUCWeighted.is_defined_for_probl em_type' on page 285 undefined on input line 28668. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 2 85 undefined on input line 28673. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 285 undefined on input line 28678. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 285 und efined on input line 28683. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 28688. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28710--28712 [] [285 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28739--28739 [] Underfull \hbox (badness 10000) in paragraph at lines 28739--28739 [286] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 287 undefined on input line 28845. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 287 undefined on input line 28850. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.is_defined_for_problem_type:evalml.objectives.BalancedAccuracyBinar y.is_defined_for_problem_type' on page 287 undefined on input line 28855. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 287 undefined on input line 28860. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 287 undefined on input line 28865. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 287 u ndefined on input line 28870. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 287 undefined on input line 28875. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 28880. Underfull \hbox (badness 10000) in paragraph at lines 28887--28887 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28887--28887 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28887--28887 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28902--28904 [] [287 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 28949--28949 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28959--28959 [] Underfull \hbox (badness 10000) in paragraph at lines 28959--28959 [288] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 289 undefined on input line 29 093. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.is_defined_for_problem_type:evalml.objectives.BalancedAccuracyM ulticlass.is_defined_for_problem_type' on page 289 undefined on input line 2909 8. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 289 undefined on input line 29103. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 289 undefined on input line 29108. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 289 undefined on input line 29113. [289 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 29118. Overfull \hbox (9.03467pt too wide) in paragraph at lines 29125--29125 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 29125--29125 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 29125--29125 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29140--29142 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 29159--29159 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 29169--29169 [] Underfull \hbox (badness 10000) in paragraph at lines 29169--29169 [290] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 291 undefined on input line 29275. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 291 undefined on inpu t line 29280. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.is_defin ed_for_problem_type:evalml.objectives.F1.is_defined_for_problem_type' on page 2 91 undefined on input line 29285. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 291 undefined on in put line 29290. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 291 undefined on in put line 29295. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 291 undefined on input line 29300. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 291 undefined on input li ne 29305. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 29310. [291 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29332--29334 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29389--29389 [] Underfull \hbox (badness 10000) in paragraph at lines 29389--29389 [292] [293] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 294 undefined on input line 29523. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 294 undefined on input line 29528. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 294 undef ined on input line 29533. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 294 undefined on input line 29538. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 294 undefined o n input line 29543. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 29548. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29570--29572 [] [294 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29599--29599 [] Underfull \hbox (badness 10000) in paragraph at lines 29599--29599 [295] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 296 undefined on input line 29705. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 296 undefined on input line 29710. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 296 undef ined on input line 29715. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 296 undefined on input line 29720. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 296 undefined o n input line 29725. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 29730. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29752--29754 [] [296 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29781--29781 [] Underfull \hbox (badness 10000) in paragraph at lines 29781--29781 [297] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 298 undefined on input line 29887. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 298 undefined on input line 29892. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 298 undefined on input line 29897. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 298 undefined on input line 2 9902. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 298 undef ined on input line 29907. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 29912. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29934--29936 [] [298 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29963--29963 [] Underfull \hbox (badness 10000) in paragraph at lines 29963--29963 [299] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 300 undefined on input line 30069. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 300 undefined on input line 30074. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.is_defined_for_problem_type:evalml.objectives.LogLossBinary.is_defined_for_p roblem_type' on page 300 undefined on input line 30079. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 300 undefined on input line 30084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 300 undefined on input line 30089. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 300 undefined on input line 30094. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 300 undefined on input line 30099. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 30104. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30126--30128 [] [300 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30183--30183 [] Underfull \hbox (badness 10000) in paragraph at lines 30183--30183 [301] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 302 undefined on input line 30317. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.is_defined_for_problem_type:evalml.objectives.LogLossMulticlass.is_defin ed_for_problem_type' on page 302 undefined on input line 30322. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 302 undefined on input line 30327. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 302 undefined o n input line 30332. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 302 undefined on input line 30337. [302 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 30342. Underfull \hbox (badness 10000) in paragraph at lines 30349--30349 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 30364--30366 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30393--30393 [] Underfull \hbox (badness 10000) in paragraph at lines 30393--30393 [303] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 304 undefined on input line 30499. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 304 und efined on input line 30504. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.i s_defined_for_problem_type:evalml.objectives.MCCBinary.is_defined_for_problem_t ype' on page 304 undefined on input line 30509. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 304 u ndefined on input line 30514. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 304 u ndefined on input line 30519. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 304 undefined on input line 305 24. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 304 undefin ed on input line 30529. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 30534. [304 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30556--30558 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30613--30613 [] Underfull \hbox (badness 10000) in paragraph at lines 30613--30613 [305] [306] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 307 undefined on input line 30747. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.is_defined_for_problem_type:evalml.objectives.MCCMulticlass.is_defined_for_p roblem_type' on page 307 undefined on input line 30752. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 307 undefined on input line 30757. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 307 undefined on input line 30762. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 307 undefined on input line 30767. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 30772. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30794--30796 [] [307 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30823--30823 [] Underfull \hbox (badness 10000) in paragraph at lines 30823--30823 [308] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 309 undefined on input line 30929. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 309 und efined on input line 30934. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.i s_defined_for_problem_type:evalml.objectives.Precision.is_defined_for_problem_t ype' on page 309 undefined on input line 30939. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 309 u ndefined on input line 30944. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 309 u ndefined on input line 30949. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 309 undefined on input line 309 54. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 309 undefin ed on input line 30959. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 30964. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30986--30988 [] [309 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31043--31043 [] Underfull \hbox (badness 10000) in paragraph at lines 31043--31043 [310] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 311 undefined on input line 31177. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.is_defined_for_problem_type:evalml.objectives.PrecisionMicro.is_defined_for _problem_type' on page 311 undefined on input line 31182. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 311 undefined on input line 31187. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 311 undefined on inpu t line 31192. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 3 11 undefined on input line 31197. [311 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 31202. Underfull \hbox (badness 10000) in paragraph at lines 31209--31209 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31224--31226 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31253--31253 [] Underfull \hbox (badness 10000) in paragraph at lines 31253--31253 [312] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 313 undefined on input line 31359. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.is_defined_for_problem_type:evalml.objectives.PrecisionMacro.is_defined_for _problem_type' on page 313 undefined on input line 31364. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 313 undefined on input line 31369. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 313 undefined on inpu t line 31374. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 3 13 undefined on input line 31379. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 31384. [313 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31391--31391 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31406--31408 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31435--31435 [] Underfull \hbox (badness 10000) in paragraph at lines 31435--31435 [314] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 315 undefined on input line 31541. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.is_defined_for_problem_type:evalml.objectives.PrecisionWeighted.is_defin ed_for_problem_type' on page 315 undefined on input line 31546. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 315 undefined on input line 31551. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 315 undefined o n input line 31556. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 315 undefined on input line 31561. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 31566. Underfull \hbox (badness 10000) in paragraph at lines 31573--31573 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [315 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31588--31590 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31617--31617 [] Underfull \hbox (badness 10000) in paragraph at lines 31617--31617 [316] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 317 undefined on input line 31723. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 317 undefined on input line 31728. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.is_d efined_for_problem_type:evalml.objectives.Recall.is_defined_for_problem_type' o n page 317 undefined on input line 31733. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 317 undefin ed on input line 31738. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 317 undefin ed on input line 31743. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 317 undefined on input line 31748. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 317 undefined on input line 31753. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 31758. [317 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31780--31782 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31837--31837 [] Underfull \hbox (badness 10000) in paragraph at lines 31837--31837 [318] [319] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 320 undefined on input line 31971. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .is_defined_for_problem_type:evalml.objectives.RecallMicro.is_defined_for_probl em_type' on page 320 undefined on input line 31976. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 3 20 undefined on input line 31981. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 320 undefined on input line 31986. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 320 und efined on input line 31991. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 31996. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32018--32020 [] [320 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32047--32047 [] Underfull \hbox (badness 10000) in paragraph at lines 32047--32047 [321] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 322 undefined on input line 32153. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .is_defined_for_problem_type:evalml.objectives.RecallMacro.is_defined_for_probl em_type' on page 322 undefined on input line 32158. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 3 22 undefined on input line 32163. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 322 undefined on input line 32168. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 322 und efined on input line 32173. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 32178. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32200--32202 [] [322 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32229--32229 [] Underfull \hbox (badness 10000) in paragraph at lines 32229--32229 [323] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 324 undefined on input line 32335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.is_defined_for_problem_type:evalml.objectives.RecallWeighted.is_defined_for _problem_type' on page 324 undefined on input line 32340. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 324 undefined on input line 32345. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 324 undefined on inpu t line 32350. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 3 24 undefined on input line 32355. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 32360. Underfull \hbox (badness 10000) in paragraph at lines 32367--32367 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 32382--32384 [] [324 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32411--32411 [] Underfull \hbox (badness 10000) in paragraph at lines 32411--32411 [325] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 326 undefined on input line 32511. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 326 undefined on input line 32516. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 326 undefined on input line 32521. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 326 undefined on input line 325 26. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 326 undefined on input line 32531. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 326 undefined on input line 32536. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 326 undefined on input line 32541. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 326 undefined on input line 3 2546. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 326 undefined on input line 32551. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 32556. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 326 undefined on input line 32585. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.is_defin ed_for_problem_type:evalml.objectives.R2.is_defined_for_problem_type' on page 3 26 undefined on input line 32590. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 326 undefined on in put line 32595. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 326 undefined on input line 32600. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 326 undefined on input li ne 32605. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 32610. [326 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32632--32634 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32661--32661 [] Underfull \hbox (badness 10000) in paragraph at lines 32661--32661 [327] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 328 undefined on input line 32767. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.is_defi ned_for_problem_type:evalml.objectives.MAE.is_defined_for_problem_type' on page 328 undefined on input line 32772. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 328 undefined on input line 32777. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 328 undefined on input line 32782. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 328 undefined on input line 32787. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 32792. [328 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32814--32816 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32843--32843 [] Underfull \hbox (badness 10000) in paragraph at lines 32843--32843 [329] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 330 undefined on input line 32949. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.is_defi ned_for_problem_type:evalml.objectives.MSE.is_defined_for_problem_type' on page 330 undefined on input line 32954. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 330 undefined on input line 32959. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 330 undefined on input line 32964. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 330 undefined on input line 32969. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 32974. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32996--32998 [] [330 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33025--33025 [] Underfull \hbox (badness 10000) in paragraph at lines 33025--33025 [331] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 332 undefined on input line 33133. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.is_defined_for_problem_type:evalml.objectives.MeanSquaredLogError.is_d efined_for_problem_type' on page 332 undefined on input line 33138. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 332 undefined on input line 33143. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 332 undefin ed on input line 33148. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 332 undefined on input line 33153. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 33158. Underfull \hbox (badness 10000) in paragraph at lines 33165--33165 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 33180--33182 [] [332 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33209--33209 [] Underfull \hbox (badness 10000) in paragraph at lines 33209--33209 [333] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 334 undefined on input line 33315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.is _defined_for_problem_type:evalml.objectives.MedianAE.is_defined_for_problem_typ e' on page 334 undefined on input line 33320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 334 und efined on input line 33325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 334 undefined on input line 33330 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 334 undefined on input line 33335. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 33340. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33362--33364 [] [334 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33391--33391 [] Underfull \hbox (badness 10000) in paragraph at lines 33391--33391 [335] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 336 undefined on input line 33497. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.is _defined_for_problem_type:evalml.objectives.MaxError.is_defined_for_problem_typ e' on page 336 undefined on input line 33502. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 336 und efined on input line 33507. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 336 undefined on input line 33512 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 336 undefined on input line 33517. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 33522. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33544--33546 [] [336 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33573--33573 [] Underfull \hbox (badness 10000) in paragraph at lines 33573--33573 [337] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 338 undefined on input line 33679. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .is_defined_for_problem_type:evalml.objectives.ExpVariance.is_defined_for_probl em_type' on page 338 undefined on input line 33684. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 3 38 undefined on input line 33689. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 338 undefined on input line 33694. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 338 und efined on input line 33699. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 33704. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33726--33728 [] [338 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33755--33755 [] Underfull \hbox (badness 10000) in paragraph at lines 33755--33755 [339] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 340 undefined on input line 33861. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.is_defined_for_problem_type:evalml.objectives.RootMeanSquaredError.is _defined_for_problem_type' on page 340 undefined on input line 33866. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 340 undefined on input line 33871. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 340 undef ined on input line 33876. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 340 undefined on input line 33881. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 33886. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33908--33910 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 33927--33927 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [340 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33937--33937 [] Underfull \hbox (badness 10000) in paragraph at lines 33937--33937 [341] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 342 undefined on input line 34045. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.is_defined_for_problem_type:evalml.objectives.RootMeanSquaredLogEr ror.is_defined_for_problem_type' on page 342 undefined on input line 34050. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 342 undefined on input line 34055. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 342 undefined on input line 34060. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 342 undefined on input line 34065. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 34070. Underfull \hbox (badness 10000) in paragraph at lines 34077--34077 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34077--34077 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 34077--34077 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34092--34094 [] [342 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 34111--34111 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34121--34121 [] Underfull \hbox (badness 10000) in paragraph at lines 34121--34121 [343] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 344 undefined on input line 34221. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 344 undefined on input line 342 26. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 344 undefined on inpu t line 34231. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 344 undefined on input line 34236. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 344 undefined on input line 34241. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 34246. [344 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 345 undefined on input line 34336. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 345 undefined on input line 34378. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 345 undefined on input li ne 34383. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 345 undefined on input line 34388. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 34393. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 345 undefined on input line 34404. [345] Overfull \hbox (42.52957pt too wide) in paragraph at lines 34420--34422 [] Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 34493. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 346 undefined on input line 34519. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 346 undefined on input line 34524. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 34529. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 346 undefined on input line 34540. [346] Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 34627. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 347 undefined on input line 34653. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 347 undefined on input line 34658. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 347 undefined on input line 34663. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 347 undefined on input line 34668. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 34673. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 347 undefined on input line 34704. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 347 undefined on input line 34709. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 347 und efined on input line 34714. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 347 undefined on input line 34719. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 34724. [347] [348 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 349 undefined on input line 348 47. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 349 undefined on input line 34852. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 349 undefined on input line 34857. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 349 undefined on input line 34862 . Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 34867. [349] Underfull \hbox (badness 10000) in paragraph at lines 34968--34968 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 350 undefined on inpu t line 34998. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 350 undefined on input line 350 03. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 350 undefined on input line 35008. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 350 undefined on input line 35013. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 35018. [350 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [351] Underfull \hbox (badness 10000) in paragraph at lines 35126--35126 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran- Underfull \hbox (badness 10000) in paragraph at lines 35126--35126 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.__init__:evalml.tuners.RandomSearchTuner.__init__' on page 352 undefined on input line 35156. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 352 undefined on input line 35161. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 352 undefined on input line 35166. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 352 undefined on in put line 35171. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 35176. Underfull \hbox (badness 10000) in paragraph at lines 35183--35183 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [352 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [353] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 354 undefined on input line 35308. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 354 undefined on input line 35313. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 354 undefined on input line 3 5318. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 354 undefined on input line 353 23. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 354 undefined on input line 35328. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 354 undefined on input line 35333 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 354 undefined on input line 3 5338. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 354 undefined on inpu t line 35343. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 35348. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 35383. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 354 undefined on input line 35404. [354 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 35409. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 355 undefined on input line 35432. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 35480. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 355 undefined on input line 35501. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 355 undefined on input line 35506. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 35511. [355 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 356 undefined on input line 35545. [356 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 35601. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 357 undefined on input line 35622. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 357 undefined on input line 35627. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 35632. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 357 undefined on input line 35672. [357] Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 35730. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 358 u ndefined on input line 35751. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 358 u ndefined on input line 35756. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 35761. [358 <./inheritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 35867. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 359 undefined on input line 35888. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 359 undefined on input line 35893. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 35898. [359 <./inheritance-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 360 undefined on input line 35941. [360] Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 36001. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 361 und efined on input line 36022. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 361 und efined on input line 36027. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 36032. Underfull \hbox (badness 10000) in paragraph at lines 36042--36044 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [361 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 36127. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 362 undefined on input line 36148. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 362 undefined on input line 36153. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 36158. [362 <./inheritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 363 undefined on input line 36199. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 363 undefined on input line 36199. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 36247. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 363 undefined on input line 36268. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 363 undefined on input line 36273. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 36278. [363 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36286--36288 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36327--36329 []\T1/ptm/m/n/10 and LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 364 undefined on input line 36334. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 364 undefined on input line 36334. [364] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 365 undefined on input line 36375. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 365 undefined on input line 36380 . Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 36385. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 365 undefined on inpu t line 36414. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 365 undefined on inpu t line 36419. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 36424. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 365 undefined on input line 36435. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 365 undefined on input line 36463. [365 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 366 und efined on input line 36507. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 366 und efined on input line 36512. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 36517. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 366 undefined on input line 36553. [366 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 367 undefined on input line 36589. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 367 undefined on input line 36594. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 367 undefined on input line 36599. Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 36604. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 367 undef ined on input line 36639. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 367 undefin ed on input line 36644. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 367 undefined on input line 36649. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 36654. [367 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 368 undefined on input line 36741. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 368 undefined o n input line 36746. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 368 undefined on input line 36751. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 36756. [368 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 369 undef ined on input line 36843. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 369 undefin ed on input line 36848. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 369 undefined on input line 36853. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 36858. [369 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 370 undefined on input line 36933. Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 36938. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 36977. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 370 undefined on input line 37006. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 370 undefined on input line 37011. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 370 undefined on input line 37016. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 370 undefined on input line 37021. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 37026. [370 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] [371] [372] Chapter 6. [373] Underfull \hbox (badness 10000) in paragraph at lines 37201--37202 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 37201--37202 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 37212--37213 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37230--37231 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 37245--37246 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [374] [375] Underfull \hbox (badness 10000) in paragraph at lines 37408--37409 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 37494--37495 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [376] [377] Underfull \hbox (badness 10000) in paragraph at lines 37708--37711 [] Overfull \vbox (0.89006pt too high) detected at line 37732 [378] [379] [380] Underfull \hbox (badness 10000) in paragraph at lines 37930--37931 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 37957--37958 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 37960--37961 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 37984--37985 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [381] Underfull \hbox (badness 10000) in paragraph at lines 38048--38049 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 38092--38093 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [382] Underfull \hbox (badness 10000) in paragraph at lines 38182--38183 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [383] Underfull \hbox (badness 10000) in paragraph at lines 38260--38261 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 38266--38267 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 38302--38303 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [384] Underfull \hbox (badness 5374) in paragraph at lines 38318--38319 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [385] Underfull \hbox (badness 10000) in paragraph at lines 38404--38405 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [386] [387] Underfull \hbox (badness 10000) in paragraph at lines 38641--38642 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 38647--38648 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [388] Underfull \hbox (badness 10000) in paragraph at lines 38781--38782 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [389] Underfull \hbox (badness 10000) in paragraph at lines 38799--38800 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 38841--38842 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 38844--38845 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [390] Underfull \hbox (badness 8113) in paragraph at lines 38915--38916 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 38921--38922 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 38939--38940 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [391] Underfull \hbox (badness 10000) in paragraph at lines 39100--39101 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [392] [393] [394] [395] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [396] (./feature-labs-inc-evalml.aux) Package rerunfilecheck Warning: File `feature-labs-inc-evalml.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were undefined references. LaTeX Warning: Label(s) may have changed. Rerun to get cross-references right. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (400 pages, 1798960 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Missing input file: 'feature-labs-inc-evalml.ind' from line 'No file feature-labs-inc-evalml.ind.' Latexmk: References changed. Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Rule 'makeindex feature-labs-inc-evalml.idx': File changes, etc: Non-existent destination files: 'feature-labs-inc-evalml.ind' ------------ Run number 1 of rule 'makeindex feature-labs-inc-evalml.idx' ------------ ------------ Running 'makeindex -s python.ist -o "feature-labs-inc-evalml.ind" "feature-labs-inc-evalml.idx"' ------------ Latexmk: applying rule 'makeindex feature-labs-inc-evalml.idx'... This is makeindex, version 2.15 [TeX Live 2017] (kpathsea + Thai support). Scanning style file ./python.ist.......done (7 attributes redefined, 0 ignored). Scanning input file feature-labs-inc-evalml.idx.....done (1072 entries accepted, 0 rejected). Sorting entries...........done (11981 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (1987 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.ind' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [64] [65] [66] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] [68] [69] Underfull \vbox (badness 10000) detected at line 5841 [70] [71] [72] [73] [74] [75] [76] [77] Underfull \vbox (badness 10000) detected at line 6555 Overfull \vbox (8.28168pt too high) detected at line 6555 [78] [79] Overfull \vbox (1.12581pt too high) detected at line 6636 [80] [81] Underfull \vbox (badness 10000) detected at line 6783 Overfull \vbox (2.68169pt too high) detected at line 6783 [82] [83] Underfull \hbox (badness 10000) in paragraph at lines 6845--6846 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] Underfull \vbox (badness 1337) detected at line 7034 [85] [86] [87] [88] [89] [90] Chapter 5. [91] [92] [93] Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a l- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowe d_model_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- [94] Underfull \hbox (badness 7869) in paragraph at lines 7710--7714 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [95] [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8113--8113 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [99] Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [100 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [101] Underfull \hbox (badness 5908) in paragraph at lines 8423--8425 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [102 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [103] [104] [105] [106 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9100--9102 []\T1/ptm/m/n/10 by sorted(set(y)) [107] [108] [109] [110 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9. pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 9565--9567 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9636--9636 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 9788--9788 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [114 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10025--10027 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10096--10096 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [116] [117] [118 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [119] [120] [121] [122 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [123] Underfull \hbox (badness 10000) in paragraph at lines 10994--10996 []\T1/ptm/m/n/10 by sorted(set(y)) [124] [125] [126 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 11490--11492 []\T1/ptm/m/n/10 by sorted(set(y)) [128] [129] [130 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [131] Underfull \hbox (badness 10000) in paragraph at lines 11991--11993 []\T1/ptm/m/n/10 by sorted(set(y)) [132] [133] [134] Underfull \hbox (badness 10000) in paragraph at lines 12214--12214 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [135 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 12487--12489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12558--12558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [137] [138] [139 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [140] [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13204--13204 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [144] [145] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13535--13535 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 13703--13703 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- [147 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13743--13747 [] Underfull \hbox (badness 10000) in paragraph at lines 13835--13835 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 13835--13835 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148] Underfull \hbox (badness 10000) in paragraph at lines 13894--13894 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [149] Underfull \hbox (badness 10000) in paragraph at lines 14029--14029 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 14029--14029 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [150 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [151] [152] Underfull \hbox (badness 10000) in paragraph at lines 14298--14298 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , [153 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [154] [155 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14614--14614 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [156] Underfull \hbox (badness 10000) in paragraph at lines 14749--14749 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 14828--14830 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [157] [158] Underfull \hbox (badness 10000) in paragraph at lines 15069--15069 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , [159 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 15148--15150 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [160] [161] Underfull \hbox (badness 10000) in paragraph at lines 15389--15389 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15389--15389 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [162 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [163] [164] [165] Underfull \hbox (badness 10000) in paragraph at lines 15784--15784 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (21.23323pt too wide) in paragraph at lines 15784--15784 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 15908--15908 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [166 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15913--15917 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [167] [168] Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 meric_impute_strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu - Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , [169 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16243--16243 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , \ T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , [170] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16419--16421 [] [171] Underfull \hbox (badness 10000) in paragraph at lines 16457--16457 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16457--16457 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , [172 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [173] [174] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16753--16755 [] [175 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [176] [177] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17106--17106 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [178 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [179] [180] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17442--17442 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [181 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17778--17778 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [184 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [185] [186] [187 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 18426--18426 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [190 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [191] [192] Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [193 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18978--18978 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18978--18978 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [194] [195] Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [196 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [199 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19606--19606 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19606--19606 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 19785--19785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19785--19785 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19920--19920 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [203] Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [204 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20244--20244 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20244--20244 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [205] [206] Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [207 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20558--20558 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20558--20558 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [210 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 21061--21061 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [213 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [214] [215] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21393--21393 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [216 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21528--21528 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [219 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 21872--21872 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21872--21872 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [220] [221] Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [222 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [223] [224] Underfull \hbox (badness 10000) in paragraph at lines 22448--22448 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22448--22448 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 22448--22448 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , [225 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [226] [227] Underfull \hbox (badness 10000) in paragraph at lines 22762--22762 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 22762--22762 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- [228 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [229] Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [230 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23211--23211 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23211--23211 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [233 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234] [235] Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [236 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 24028--24028 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [240] [241] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24355--24355 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [242 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24490--24490 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [245 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24834--24834 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24834--24834 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 25099--25099 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- [248 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25130--25130 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [249] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25244--25244 [] Underfull \hbox (badness 10000) in paragraph at lines 25244--25244 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25245--25245 [] Underfull \hbox (badness 10000) in paragraph at lines 25245--25245 Underfull \hbox (badness 10000) in paragraph at lines 25278--25278 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 25278--25278 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [250] Underfull \hbox (badness 10000) in paragraph at lines 25309--25309 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 25309--25309 \T1/ptm/m/it/10 ize_method='true'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 25342--25342 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25342--25342 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251] Underfull \hbox (badness 10000) in paragraph at lines 25457--25457 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25457--25457 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [252] Underfull \hbox (badness 10000) in paragraph at lines 25491--25491 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Overfull \hbox (9.96457pt too wide) in paragraph at lines 25559--25559 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [253] Overfull \hbox (15.96457pt too wide) in paragraph at lines 25600--25600 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 25630--25632 [] [254] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25646--25646 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 25684--25687 [] [255] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25816--25818 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25845--25845 [] Underfull \hbox (badness 10000) in paragraph at lines 25845--25845 [256] [257 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 25996--25996 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25996--25996 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25996--25996 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26011--26013 [] Underfull \hbox (badness 10000) in paragraph at lines 26030--26030 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , [258] Overfull \hbox (57.78452pt too wide) in paragraph at lines 26058--26058 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26067--26067 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26067--26067 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26068--26068 [] Underfull \hbox (badness 10000) in paragraph at lines 26068--26068 [259] Overfull \hbox (51.03467pt too wide) in paragraph at lines 26239--26239 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26239--26239 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26239--26239 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [260 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26254--26256 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 26273--26273 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26282--26282 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26282--26282 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26282--26282 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 26283--26283 [] Underfull \hbox (badness 10000) in paragraph at lines 26283--26283 [261] Underfull \hbox (badness 10000) in paragraph at lines 26426--26426 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [262 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26441--26443 [] Underfull \hbox (badness 10000) in paragraph at lines 26469--26469 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26470--26470 [] Underfull \hbox (badness 10000) in paragraph at lines 26470--26470 [263] Underfull \hbox (badness 10000) in paragraph at lines 26592--26592 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , [264 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26707--26709 [] [265] [266] [267 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26990--26992 [] [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 27166--27166 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , [270 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27265--27265 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27280--27282 [] [271] [272] [273 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27663--27663 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27678--27680 [] [274] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27735--27735 [] Underfull \hbox (badness 10000) in paragraph at lines 27735--27735 [275] Underfull \hbox (badness 10000) in paragraph at lines 27901--27901 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [276 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27916--27918 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27945--27945 [] Underfull \hbox (badness 10000) in paragraph at lines 27945--27945 [277] [278 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28108--28110 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28165--28165 [] Underfull \hbox (badness 10000) in paragraph at lines 28165--28165 [279] [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28346--28348 [] [281 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28375--28375 [] Underfull \hbox (badness 10000) in paragraph at lines 28375--28375 [282] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28528--28530 [] [283 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28557--28557 [] Underfull \hbox (badness 10000) in paragraph at lines 28557--28557 [284] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28710--28712 [] [285 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28739--28739 [] Underfull \hbox (badness 10000) in paragraph at lines 28739--28739 [286] Underfull \hbox (badness 10000) in paragraph at lines 28887--28887 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28887--28887 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28887--28887 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28902--28904 [] [287 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 28949--28949 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28959--28959 [] Underfull \hbox (badness 10000) in paragraph at lines 28959--28959 [288] [289 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 29125--29125 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 29125--29125 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 29125--29125 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29140--29142 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 29159--29159 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 29169--29169 [] Underfull \hbox (badness 10000) in paragraph at lines 29169--29169 [290] [291 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29332--29334 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29389--29389 [] Underfull \hbox (badness 10000) in paragraph at lines 29389--29389 [292] [293] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29570--29572 [] [294 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29599--29599 [] Underfull \hbox (badness 10000) in paragraph at lines 29599--29599 [295] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29752--29754 [] [296 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29781--29781 [] Underfull \hbox (badness 10000) in paragraph at lines 29781--29781 [297] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29934--29936 [] [298 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29963--29963 [] Underfull \hbox (badness 10000) in paragraph at lines 29963--29963 [299] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30126--30128 [] [300 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30183--30183 [] Underfull \hbox (badness 10000) in paragraph at lines 30183--30183 [301] [302 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30349--30349 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 30364--30366 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30393--30393 [] Underfull \hbox (badness 10000) in paragraph at lines 30393--30393 [303] [304 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30556--30558 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30613--30613 [] Underfull \hbox (badness 10000) in paragraph at lines 30613--30613 [305] [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30794--30796 [] [307 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30823--30823 [] Underfull \hbox (badness 10000) in paragraph at lines 30823--30823 [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30986--30988 [] [309 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31043--31043 [] Underfull \hbox (badness 10000) in paragraph at lines 31043--31043 [310] [311 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31209--31209 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31224--31226 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31253--31253 [] Underfull \hbox (badness 10000) in paragraph at lines 31253--31253 [312] [313 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31391--31391 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31406--31408 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31435--31435 [] Underfull \hbox (badness 10000) in paragraph at lines 31435--31435 [314] Underfull \hbox (badness 10000) in paragraph at lines 31573--31573 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [315 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31588--31590 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31617--31617 [] Underfull \hbox (badness 10000) in paragraph at lines 31617--31617 [316] [317 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31780--31782 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31837--31837 [] Underfull \hbox (badness 10000) in paragraph at lines 31837--31837 [318] [319] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32018--32020 [] [320 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32047--32047 [] Underfull \hbox (badness 10000) in paragraph at lines 32047--32047 [321] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32200--32202 [] [322 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32229--32229 [] Underfull \hbox (badness 10000) in paragraph at lines 32229--32229 [323] Underfull \hbox (badness 10000) in paragraph at lines 32367--32367 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 32382--32384 [] [324 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32411--32411 [] Underfull \hbox (badness 10000) in paragraph at lines 32411--32411 [325] [326 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32632--32634 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32661--32661 [] Underfull \hbox (badness 10000) in paragraph at lines 32661--32661 [327] [328 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32814--32816 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32843--32843 [] Underfull \hbox (badness 10000) in paragraph at lines 32843--32843 [329] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32996--32998 [] [330 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33025--33025 [] Underfull \hbox (badness 10000) in paragraph at lines 33025--33025 [331] Underfull \hbox (badness 10000) in paragraph at lines 33165--33165 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 33180--33182 [] [332 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33209--33209 [] Underfull \hbox (badness 10000) in paragraph at lines 33209--33209 [333] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33362--33364 [] [334 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33391--33391 [] Underfull \hbox (badness 10000) in paragraph at lines 33391--33391 [335] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33544--33546 [] [336 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33573--33573 [] Underfull \hbox (badness 10000) in paragraph at lines 33573--33573 [337] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33726--33728 [] [338 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33755--33755 [] Underfull \hbox (badness 10000) in paragraph at lines 33755--33755 [339] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33908--33910 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 33927--33927 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [340 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33937--33937 [] Underfull \hbox (badness 10000) in paragraph at lines 33937--33937 [341] Underfull \hbox (badness 10000) in paragraph at lines 34077--34077 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34077--34077 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 34077--34077 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34092--34094 [] [342 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 34111--34111 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34121--34121 [] Underfull \hbox (badness 10000) in paragraph at lines 34121--34121 [343] [344 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [345] Overfull \hbox (42.52957pt too wide) in paragraph at lines 34420--34422 [] [346] [347] [348 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [349] Underfull \hbox (badness 10000) in paragraph at lines 34968--34968 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [350 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [351] Underfull \hbox (badness 10000) in paragraph at lines 35126--35126 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran- Underfull \hbox (badness 10000) in paragraph at lines 35126--35126 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- Underfull \hbox (badness 10000) in paragraph at lines 35183--35183 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [352 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [353] [354 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [355 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [356 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [357] [358 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [359 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [360] Underfull \hbox (badness 10000) in paragraph at lines 36042--36044 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [361 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [362 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [363 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36286--36288 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36327--36329 []\T1/ptm/m/n/10 and [364] [365 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [366 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [367 <./inhe ritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [368 <./inheritance-5576 b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [369 <./inheritance-9d7aac3b6c2e0aed 0555fa923a3e3e94de4b6ce9.pdf>] [370 <./inheritance-c18ad8ab8f4940926b3f303c62cb 8aede2781316.pdf>] [371] [372] Chapter 6. [373] Underfull \hbox (badness 10000) in paragraph at lines 37201--37202 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 37201--37202 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 37212--37213 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37230--37231 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 37245--37246 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [374] [375] Underfull \hbox (badness 10000) in paragraph at lines 37408--37409 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 37494--37495 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [376] [377] Underfull \hbox (badness 10000) in paragraph at lines 37708--37711 [] Overfull \vbox (0.89006pt too high) detected at line 37732 [378] [379] [380] Underfull \hbox (badness 10000) in paragraph at lines 37930--37931 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 37957--37958 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 37960--37961 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 37984--37985 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [381] Underfull \hbox (badness 10000) in paragraph at lines 38048--38049 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 38092--38093 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [382] Underfull \hbox (badness 10000) in paragraph at lines 38182--38183 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [383] Underfull \hbox (badness 10000) in paragraph at lines 38260--38261 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 38266--38267 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 38302--38303 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [384] Underfull \hbox (badness 5374) in paragraph at lines 38318--38319 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [385] Underfull \hbox (badness 10000) in paragraph at lines 38404--38405 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [386] [387] Underfull \hbox (badness 10000) in paragraph at lines 38641--38642 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 38647--38648 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [388] Underfull \hbox (badness 10000) in paragraph at lines 38781--38782 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [389] Underfull \hbox (badness 10000) in paragraph at lines 38799--38800 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 38841--38842 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 38844--38845 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [390] Underfull \hbox (badness 8113) in paragraph at lines 38915--38916 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 38921--38922 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 38939--38940 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [391] Underfull \hbox (badness 10000) in paragraph at lines 39100--39101 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [392] [393] [394] [395] (./feature-labs-inc-evalml.ind [396] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [397] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 BinaryClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 189--191 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 189--191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class [398] Underfull \hbox (badness 10000) in paragraph at lines 191--193 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 191--193 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 193--195 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 197--199 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 201--203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 203--205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 215--217 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 215--217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 217--219 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 219--221 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 219--221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 227--229 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 231--233 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 235--237 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 235--237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 237--239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 239--241 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 243--245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 245--247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 249--251 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 249--251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 251--253 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 251--253 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 253--255 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 257--259 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 259--261 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [399] Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 267--269 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\T1/pcr/m/n/10 ClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 278--279 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 285--287 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (8.02017pt too wide) in paragraph at lines 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineClassifier Overfull \hbox (9.46036pt too wide) in paragraph at lines 291--293 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineRegressor Overfull \hbox (10.81021pt too wide) in paragraph at lines 293--295 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostClassifier Overfull \hbox (12.2504pt too wide) in paragraph at lines 295--297 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostRegressor Overfull \hbox (0.79085pt too wide) in paragraph at lines 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ComponentBase Overfull \hbox (15.60025pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 303--305 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 305--307 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropColumns Overfull \hbox (8.69058pt too wide) in paragraph at lines 307--309 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropNullColumns Overfull \hbox (15.24988pt too wide) in paragraph at lines 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetClassifier Overfull \hbox (16.69006pt too wide) in paragraph at lines 311--313 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 313--314 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Estimator Overfull \hbox (16.9501pt too wide) in paragraph at lines 314--316 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesClassifier Overfull \hbox (18.39029pt too wide) in paragraph at lines 316--318 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 318--319 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 319--321 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (1.69048pt too wide) in paragraph at lines 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LinearRegressor Overfull \hbox (49.3796pt too wide) in paragraph at lines 323--325 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LogisticRegressionClassifier Overfull \hbox (0.78084pt too wide) in paragraph at lines 325--327 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.OneHotEncoder Overfull \hbox (12.21062pt too wide) in paragraph at lines 327--329 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.PerColumnImputer Overfull \hbox (31.60023pt too wide) in paragraph at lines 329--331 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestClassifier Overfull \hbox (33.04042pt too wide) in paragraph at lines 331--333 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestRegressor Overfull \hbox (56.44995pt too wide) in paragraph at lines 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFClassifierSelectFromModel Overfull \hbox (57.89014pt too wide) in paragraph at lines 335--337 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Transformer Overfull \hbox (9.69035pt too wide) in paragraph at lines 351--353 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostClassifier Overfull \hbox (11.13054pt too wide) in paragraph at lines 353--355 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor Overfull \hbox (19.18016pt too wide) in paragraph at lines 355--357 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 357--359 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 361--363 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [400] Overfull \hbox (27.96046pt too wide) in paragraph at lines 365--367 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 367--369 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 369--371 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 371--373 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 373--375 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 377--378 []\T1/pcr/m/n/10 ComponentBase \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 416--418 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 432--434 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 434--435 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10 DataCheckMessageType \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 DateTimeFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [401] Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 457--458 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [402] Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 545--547 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 545--547 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 552--554 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 554--556 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 572--574 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 574--576 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 576--578 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 578--580 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 580--582 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 582--584 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 588--589 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 589--591 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 593--595 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 597--599 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (49.60023pt too wide) in paragraph at lines 599--601 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (74.44995pt too wide) in paragraph at lines 603--605 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 605--607 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (12.68059pt too wide) in paragraph at lines 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [403] Overfull \hbox (10.81046pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 631--633 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 634--635 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 635--636 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 635--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 641--642 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 650--652 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 652--654 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 654--656 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 668--669 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 690--692 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 692--693 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 695--697 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 697--699 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 699--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 702--704 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 705--707 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 707--709 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier Underfull \hbox (badness 10000) in paragraph at lines 711--713 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [404] Overfull \hbox (19.60023pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 719--721 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 721--723 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 729--731 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 731--733 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 740--742 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 746--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 749--750 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 750--752 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (39.46088pt too wide) in paragraph at lines 752--754 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 754--756 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 756--758 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 758--760 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 760--762 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 766--768 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 768--770 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 770--772 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (40.81046pt too wide) in paragraph at lines 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TextFeaturizer Overfull \hbox (33.10078pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 788--790 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 790--792 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 792--794 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 794--796 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 796--798 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 798--800 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 800--802 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 802--804 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 805--807 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 809--810 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel [405] Overfull \hbox (81.89014pt too wide) in paragraph at lines 818--820 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 836--838 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 838--840 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 840--842 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 842--844 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 graph_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 graph_roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 handle_model_family() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 handle_problem_types() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 888--889 []\T1/pcr/m/n/10 HighlyNullDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 889--891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 891--893 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 891--893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 893--895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 895--897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [406] Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 915--917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 917--919 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 917--919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 921--923 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 921--923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 923--925 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 923--925 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 925--927 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 927--929 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 929--931 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 929--931 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 931--933 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 931--933 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 933--935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 935--937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 937--939 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 937--939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 939--941 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 939--941 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 941--943 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 943--945 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 943--945 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 945--947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 947--949 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 947--949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 949--951 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 949--951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 951--953 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 953--955 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 959--961 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 961--963 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 969--970 []\T1/pcr/m/n/10 InvalidTargetDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 970--972 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 972--974 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 972--974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 974--976 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 982--984 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [407] Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 984--986 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 986--988 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 986--988 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 988--990 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 988--990 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 996--998 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 996--998 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 998--1000 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1000--1002 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1018--1020 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1018--1020 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1020--1022 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1022--1024 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1038--1040 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.GridSearchTuner method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1054--1056 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1056--1058 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1058--1060 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [408] Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 []\T1/pcr/m/n/10 LightGBMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1066--1067 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1078--1080 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1080--1082 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1082--1084 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1084--1086 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1094--1096 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1096--1098 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1098--1100 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1100--1102 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox (10.9501pt too wide) in paragraph at lines 1104--1106 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1106--1108 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (10.36026pt too wide) in paragraph at lines 1110--1112 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1114--1116 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1120--1122 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1134--1136 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1136--1138 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1140--1142 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1142--1144 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1144--1146 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1146--1148 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static [409] Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 MeanBaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (7.52121pt too wide) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckMessage Overfull \hbox (6.81137pt too wide) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 1187--1188 []\T1/pcr/m/n/10 ModeBaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1188--1190 []\T1/pcr/m/n/10 ModeBaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (9.96046pt too wide) in paragraph at lines 1190--1192 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1192--1194 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1194--1196 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (38.02017pt too wide) in paragraph at lines 1196--1198 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineClassifier Overfull \hbox (39.46036pt too wide) in paragraph at lines 1198--1200 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor Overfull \hbox (40.81021pt too wide) in paragraph at lines 1200--1202 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostClassifier Overfull \hbox (42.2504pt too wide) in paragraph at lines 1202--1204 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostRegressor Overfull \hbox (45.60025pt too wide) in paragraph at lines 1204--1206 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1206--1208 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1208--1210 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropColumns Overfull \hbox (38.69058pt too wide) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropNullColumns Overfull \hbox (45.24988pt too wide) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier Overfull \hbox (46.69006pt too wide) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetRegressor Overfull \hbox (46.9501pt too wide) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesClassifier Overfull \hbox (48.39029pt too wide) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (46.36026pt too wide) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMClassifier Overfull \hbox (31.69048pt too wide) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LinearRegressor Overfull \hbox (79.3796pt too wide) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LogisticRegressionClassifier Overfull \hbox (30.78084pt too wide) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Overfull \hbox (42.21062pt too wide) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.PerColumnImputer Overfull \hbox (61.60023pt too wide) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestClassifier Overfull \hbox (63.04042pt too wide) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestRegressor Overfull \hbox (86.44995pt too wide) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFClassifierSelectFromModel Overfull \hbox (87.89014pt too wide) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFRegressorSelectFromModel Overfull \hbox (24.68059pt too wide) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SelectColumns Overfull \hbox (24.12065pt too wide) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (22.81046pt too wide) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (39.69035pt too wide) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostClassifier Overfull \hbox (41.13054pt too wide) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostRegressor Overfull \hbox (49.18016pt too wide) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Underfull \hbox (badness 6542) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 MulticlassClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class [410] Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Highly NullDataCheck at- Underfull \hbox (badness 10000) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseline BinaryPipeline at- Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1306--1308 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1308--1310 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1310--1312 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropColumns at- Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.LogisticRegressionClassifier Overfull \hbox (13.60023pt too wide) in paragraph at lines 1333--1335 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestClassifier Overfull \hbox (15.04042pt too wide) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestRegressor Overfull \hbox (38.44995pt too wide) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFClassifierSelectFromModel Overfull \hbox (39.89014pt too wide) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1345--1347 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostClassifier Underfull \hbox (badness 7291) in paragraph at lines 1355--1357 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostRegressor Overfull \hbox (1.18016pt too wide) in paragraph at lines 1357--1359 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1366--1367 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1367--1369 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 1369--1371 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm [411] Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1373--1374 []\T1/pcr/m/n/10 NoVarianceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1374--1375 []\T1/pcr/m/n/10 number_of_features() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1382--1383 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1391--1393 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1393--1395 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1393--1395 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1395--1397 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1399--1400 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1402--1404 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Weighted method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1414--1415 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1415--1417 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1423--1425 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1425--1426 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1426--1428 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1426--1428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1430--1432 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1436--1438 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1438--1439 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.R2 Underfull \hbox (badness 10000) in paragraph at lines 1439--1440 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMicro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [412] Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1453--1454 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1456--1457 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1459--1461 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1459--1461 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1461--1463 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1463--1464 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1472--1474 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1474--1475 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1479--1480 []\T1/pcr/m/n/10 PerColumnImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1482--1484 []\T1/pcr/m/n/10 precision_recall_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1487--1489 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineBinaryPipeline Overfull \hbox (6.41pt too wide) in paragraph at lines 1489--1491 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineMulticlassPipeline Overfull \hbox (8.41026pt too wide) in paragraph at lines 1491--1493 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineRegressionPipeline Overfull \hbox (12.53014pt too wide) in paragraph at lines 1493--1495 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bin aryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1495--1497 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cla ssificationPipeline Overfull \hbox (20.02017pt too wide) in paragraph at lines 1497--1499 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier Overfull \hbox (21.46036pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineRegressor Overfull \hbox (22.81021pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier Overfull \hbox (24.2504pt too wide) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 1507--1509 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1509--1511 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetClassifier Overfull \hbox (28.69006pt too wide) in paragraph at lines 1511--1513 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1513--1515 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator Overfull \hbox (28.9501pt too wide) in paragraph at lines 1515--1517 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier Overfull \hbox (30.39029pt too wide) in paragraph at lines 1517--1519 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (28.36026pt too wide) in paragraph at lines 1519--1521 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMClassifier Overfull \hbox (13.69048pt too wide) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LinearRegressor Overfull \hbox (61.3796pt too wide) in paragraph at lines 1523--1525 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LogisticRegressionClassifier Overfull \hbox (43.60023pt too wide) in paragraph at lines 1525--1527 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestClassifier Overfull \hbox (45.04042pt too wide) in paragraph at lines 1527--1529 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1533--1535 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostClassifier Overfull \hbox (23.13054pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostRegressor Overfull \hbox (31.18016pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mea nBaselineRegressionPipeline Overfull \hbox (14.73036pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineBinaryPipeline [413] Overfull \hbox (29.1799pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineMulticlassPipeline Overfull \hbox (26.97968pt too wide) in paragraph at lines 1543--1545 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 1545--1546 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Pip elineBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1546--1547 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1547--1549 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 1549--1551 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 1551--1553 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 1553--1555 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (56.02017pt too wide) in paragraph at lines 1555--1557 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineClassifier Overfull \hbox (57.46036pt too wide) in paragraph at lines 1557--1559 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineRegressor Overfull \hbox (58.81021pt too wide) in paragraph at lines 1559--1561 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostClassifier Overfull \hbox (60.2504pt too wide) in paragraph at lines 1561--1563 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1563--1565 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 1565--1567 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1567--1569 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetClassifier Overfull \hbox (64.69006pt too wide) in paragraph at lines 1569--1571 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetRegressor Overfull \hbox (22.69072pt too wide) in paragraph at lines 1571--1573 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Estimator Overfull \hbox (64.9501pt too wide) in paragraph at lines 1573--1575 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesClassifier Overfull \hbox (66.39029pt too wide) in paragraph at lines 1575--1577 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (64.36026pt too wide) in paragraph at lines 1577--1579 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier Overfull \hbox (49.69048pt too wide) in paragraph at lines 1579--1581 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LinearRegressor Overfull \hbox (97.3796pt too wide) in paragraph at lines 1581--1583 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LogisticRegressionClassifier Overfull \hbox (79.60023pt too wide) in paragraph at lines 1583--1585 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestClassifier Overfull \hbox (81.04042pt too wide) in paragraph at lines 1585--1587 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 1587--1589 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1589--1591 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1591--1593 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostClassifier Overfull \hbox (59.13054pt too wide) in paragraph at lines 1593--1595 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostRegressor Overfull \hbox (50.73036pt too wide) in paragraph at lines 1595--1597 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 1597--1599 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 1599--1601 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1601--1603 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (30.53014pt too wide) in paragraph at lines 1607--1609 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BinaryClassificationPipeline Overfull \hbox (3.31042pt too wide) in paragraph at lines 1609--1611 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ClassificationPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1611--1613 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1613--1615 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1615--1617 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (44.97968pt too wide) in paragraph at lines 1617--1619 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1619--1620 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. PipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 1620--1622 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1624--1625 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner Underfull \hbox (badness 10000) in paragraph at lines 1631--1633 []\T1/pcr/m/n/10 RandomForestClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1633--1635 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [414] Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 RFClassifierSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 []\T1/pcr/m/n/10 RFRegressorSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1646--1647 []\T1/pcr/m/n/10 roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1647--1648 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1648--1649 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1653--1654 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1654--1656 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1656--1658 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1660--1661 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Classi ficationPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1661--1663 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1663--1665 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1667--1669 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1671--1673 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1673--1675 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1675--1677 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1677--1678 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1678--1680 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1680--1682 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1682--1684 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1684--1685 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Estimator Overfull \hbox (10.9501pt too wide) in paragraph at lines 1685--1687 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1687--1689 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (10.36026pt too wide) in paragraph at lines 1690--1692 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1694--1696 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1700--1702 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1702--1704 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1704--1706 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1706--1708 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1712--1714 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1716--1718 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1721--1723 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1723--1725 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1725--1727 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1729--1731 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1731--1733 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Accu racyMulticlass [415] Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyBinary Overfull \hbox (5.9003pt too wide) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass Overfull \hbox (9.39989pt too wide) in paragraph at lines 1745--1747 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1755--1756 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossBinary method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1756--1757 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1761--1762 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mean SquaredLogError Overfull \hbox (23.84943pt too wide) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1766--1767 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Obje ctiveBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1770--1771 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Prec isionWeighted Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Regr essionObjective Underfull \hbox (badness 10000) in paragraph at lines 1777--1778 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredError Overfull \hbox (1.26079pt too wide) in paragraph at lines 1778--1780 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1780--1782 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1788--1790 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 1790--1792 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1792--1794 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1794--1796 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 1796--1798 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1801--1802 []\T1/pcr/m/n/10 SelectColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 []\T1/pcr/m/n/10 SimpleImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1805--1807 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1807--1809 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1809--1810 []\T1/pcr/m/n/10 StandardScaler \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (19.18016pt too wide) in paragraph at lines 1816--1818 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1818--1820 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1820--1822 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1822--1824 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1822--1824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1824--1826 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1824--1826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1826--1828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [416] Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1830--1832 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1830--1832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1832--1834 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1832--1834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1834--1836 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1834--1836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1836--1838 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1836--1838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1838--1840 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1838--1840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1840--1842 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1842--1844 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1842--1844 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1846--1848 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1846--1848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1848--1850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1850--1852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1852--1854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1854--1856 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1854--1856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1856--1858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1858--1860 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1858--1860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1863--1864 []\T1/pcr/m/n/10 target_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1864--1865 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1865--1866 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (39.60025pt too wide) in paragraph at lines 1866--1868 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropColumns Overfull \hbox (32.69058pt too wide) in paragraph at lines 1870--1872 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Imputer Overfull \hbox (24.78084pt too wide) in paragraph at lines 1874--1876 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder Overfull \hbox (36.21062pt too wide) in paragraph at lines 1876--1878 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.PerColumnImputer Overfull \hbox (80.44995pt too wide) in paragraph at lines 1878--1880 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 1880--1882 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Overfull \hbox (18.68059pt too wide) in paragraph at lines 1882--1884 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SelectColumns Overfull \hbox (18.12065pt too wide) in paragraph at lines 1884--1886 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SimpleImputer Overfull \hbox (21.09074pt too wide) in paragraph at lines 1886--1888 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (16.81046pt too wide) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TextFeaturizer Overfull \hbox (9.10078pt too wide) in paragraph at lines 1890--1892 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1900--1901 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 1903--1905 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 1905--1907 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 1907--1909 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1909--1911 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 1911--1913 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 1913--1915 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck [417] Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1919--1920 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1921--1922 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1926--1928 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1926--1928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1928--1930 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1928--1930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1930--1932 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1935--1936 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Macro Underfull \hbox (badness 10000) in paragraph at lines 1936--1937 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Micro Underfull \hbox (badness 10000) in paragraph at lines 1939--1940 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1944--1946 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1946--1947 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1947--1948 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1953--1954 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1954--1955 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1955--1957 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1955--1957 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1959--1960 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Precision Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1967--1968 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1983--1985 []\T1/pcr/m/n/10 XGBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1985--1986 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [418] [419]) (./feature-labs-inc-evalml.aux) Package rerunfilecheck Warning: File `feature-labs-inc-evalml.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were multiply-defined labels. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (423 pages, 1914994 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.out' 'feature-labs-inc-evalml.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [64] [65] [66] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] [68] [69] Underfull \vbox (badness 10000) detected at line 5841 [70] [71] [72] [73] [74] [75] [76] [77] Underfull \vbox (badness 10000) detected at line 6555 Overfull \vbox (8.28168pt too high) detected at line 6555 [78] [79] Overfull \vbox (1.12581pt too high) detected at line 6636 [80] [81] Underfull \vbox (badness 10000) detected at line 6783 Overfull \vbox (2.68169pt too high) detected at line 6783 [82] [83] Underfull \hbox (badness 10000) in paragraph at lines 6845--6846 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] Underfull \vbox (badness 1337) detected at line 7034 [85] [86] [87] [88] [89] [90] Chapter 5. [91] [92] [93] Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a l- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowe d_model_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- [94] Underfull \hbox (badness 7869) in paragraph at lines 7710--7714 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [95] [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8113--8113 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [99] Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [100 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [101] Underfull \hbox (badness 5908) in paragraph at lines 8423--8425 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [102 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [103] [104] [105] [106 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9100--9102 []\T1/ptm/m/n/10 by sorted(set(y)) [107] [108] [109] [110 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9. pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 9565--9567 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9636--9636 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 9788--9788 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [114 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10025--10027 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10096--10096 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [116] [117] [118 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [119] [120] [121] [122 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [123] Underfull \hbox (badness 10000) in paragraph at lines 10994--10996 []\T1/ptm/m/n/10 by sorted(set(y)) [124] [125] [126 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 11490--11492 []\T1/ptm/m/n/10 by sorted(set(y)) [128] [129] [130 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [131] Underfull \hbox (badness 10000) in paragraph at lines 11991--11993 []\T1/ptm/m/n/10 by sorted(set(y)) [132] [133] [134] Underfull \hbox (badness 10000) in paragraph at lines 12214--12214 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [135 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 12487--12489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12558--12558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [137] [138] [139 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [140] [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13204--13204 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [144] [145] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13535--13535 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 13703--13703 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- [147 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13743--13747 [] Underfull \hbox (badness 10000) in paragraph at lines 13835--13835 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 13835--13835 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148] Underfull \hbox (badness 10000) in paragraph at lines 13894--13894 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [149] Underfull \hbox (badness 10000) in paragraph at lines 14029--14029 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 14029--14029 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [150 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [151] [152] Underfull \hbox (badness 10000) in paragraph at lines 14298--14298 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , [153 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [154] [155 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14614--14614 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [156] Underfull \hbox (badness 10000) in paragraph at lines 14749--14749 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 14828--14830 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [157] [158] Underfull \hbox (badness 10000) in paragraph at lines 15069--15069 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , [159 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 15148--15150 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [160] [161] Underfull \hbox (badness 10000) in paragraph at lines 15389--15389 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15389--15389 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [162 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [163] [164] [165] Underfull \hbox (badness 10000) in paragraph at lines 15784--15784 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (21.23323pt too wide) in paragraph at lines 15784--15784 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 15908--15908 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [166 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15913--15917 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [167] [168] Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 meric_impute_strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu - Underfull \hbox (badness 10000) in paragraph at lines 16119--16119 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , [169 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16243--16243 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , \ T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , [170] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16419--16421 [] [171] Underfull \hbox (badness 10000) in paragraph at lines 16457--16457 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16457--16457 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , [172 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [173] [174] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16753--16755 [] [175 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [176] [177] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17106--17106 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17106--17106 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [178 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17235--17235 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [179] [180] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17442--17442 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17442--17442 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [181 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17571--17571 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17778--17778 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [184 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [185] [186] [187 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 18426--18426 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [190 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [191] [192] Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18830--18830 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [193 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18978--18978 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18978--18978 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [194] [195] Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19157--19157 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [196 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19471--19471 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [199 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19606--19606 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19606--19606 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 19785--19785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19785--19785 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19920--19920 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [203] Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20099--20099 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [204 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20244--20244 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20244--20244 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [205] [206] Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20423--20423 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [207 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20558--20558 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20558--20558 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20737--20737 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [210 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 21061--21061 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [213 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [214] [215] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21393--21393 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21393--21393 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [216 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21528--21528 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21737--21737 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [219 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 21872--21872 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21872--21872 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [220] [221] Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22121--22121 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [222 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22269--22269 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [223] [224] Underfull \hbox (badness 10000) in paragraph at lines 22448--22448 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22448--22448 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 22448--22448 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , [225 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [226] [227] Underfull \hbox (badness 10000) in paragraph at lines 22762--22762 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 22762--22762 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- [228 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [229] Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 23076--23076 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [230 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23211--23211 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23211--23211 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 23390--23390 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [233 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234] [235] Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23704--23704 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [236 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 24028--24028 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [240] [241] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24355--24355 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24355--24355 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [242 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24490--24490 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24699--24699 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [245 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24834--24834 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24834--24834 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 25099--25099 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- [248 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25130--25130 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [249] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25244--25244 [] Underfull \hbox (badness 10000) in paragraph at lines 25244--25244 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25245--25245 [] Underfull \hbox (badness 10000) in paragraph at lines 25245--25245 Underfull \hbox (badness 10000) in paragraph at lines 25278--25278 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 25278--25278 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [250] Underfull \hbox (badness 10000) in paragraph at lines 25309--25309 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 25309--25309 \T1/ptm/m/it/10 ize_method='true'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 25342--25342 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25342--25342 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251] Underfull \hbox (badness 10000) in paragraph at lines 25457--25457 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25457--25457 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [252] Underfull \hbox (badness 10000) in paragraph at lines 25491--25491 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Overfull \hbox (9.96457pt too wide) in paragraph at lines 25559--25559 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25559--25559 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [253] Overfull \hbox (15.96457pt too wide) in paragraph at lines 25600--25600 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25600--25600 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 25630--25632 [] [254] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25646--25646 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25646--25646 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 25684--25687 [] [255] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25816--25818 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25845--25845 [] Underfull \hbox (badness 10000) in paragraph at lines 25845--25845 [256] [257 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 25996--25996 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25996--25996 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25996--25996 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26011--26013 [] Underfull \hbox (badness 10000) in paragraph at lines 26030--26030 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , [258] Overfull \hbox (57.78452pt too wide) in paragraph at lines 26058--26058 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26067--26067 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26067--26067 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26068--26068 [] Underfull \hbox (badness 10000) in paragraph at lines 26068--26068 [259] Overfull \hbox (51.03467pt too wide) in paragraph at lines 26239--26239 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26239--26239 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26239--26239 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [260 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26254--26256 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 26273--26273 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26282--26282 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26282--26282 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26282--26282 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 26283--26283 [] Underfull \hbox (badness 10000) in paragraph at lines 26283--26283 [261] Underfull \hbox (badness 10000) in paragraph at lines 26426--26426 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [262 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26441--26443 [] Underfull \hbox (badness 10000) in paragraph at lines 26469--26469 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26470--26470 [] Underfull \hbox (badness 10000) in paragraph at lines 26470--26470 [263] Underfull \hbox (badness 10000) in paragraph at lines 26592--26592 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , [264 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26707--26709 [] [265] [266] [267 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26990--26992 [] [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 27166--27166 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , [270 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27265--27265 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27280--27282 [] [271] [272] [273 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27663--27663 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27678--27680 [] [274] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27735--27735 [] Underfull \hbox (badness 10000) in paragraph at lines 27735--27735 [275] Underfull \hbox (badness 10000) in paragraph at lines 27901--27901 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [276 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27916--27918 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27945--27945 [] Underfull \hbox (badness 10000) in paragraph at lines 27945--27945 [277] [278 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28108--28110 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28165--28165 [] Underfull \hbox (badness 10000) in paragraph at lines 28165--28165 [279] [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28346--28348 [] [281 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28375--28375 [] Underfull \hbox (badness 10000) in paragraph at lines 28375--28375 [282] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28528--28530 [] [283 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28557--28557 [] Underfull \hbox (badness 10000) in paragraph at lines 28557--28557 [284] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28710--28712 [] [285 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28739--28739 [] Underfull \hbox (badness 10000) in paragraph at lines 28739--28739 [286] Underfull \hbox (badness 10000) in paragraph at lines 28887--28887 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28887--28887 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28887--28887 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28902--28904 [] [287 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 28949--28949 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28959--28959 [] Underfull \hbox (badness 10000) in paragraph at lines 28959--28959 [288] [289 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 29125--29125 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 29125--29125 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 29125--29125 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29140--29142 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 29159--29159 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 29169--29169 [] Underfull \hbox (badness 10000) in paragraph at lines 29169--29169 [290] [291 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29332--29334 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29389--29389 [] Underfull \hbox (badness 10000) in paragraph at lines 29389--29389 [292] [293] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29570--29572 [] [294 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29599--29599 [] Underfull \hbox (badness 10000) in paragraph at lines 29599--29599 [295] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29752--29754 [] [296 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29781--29781 [] Underfull \hbox (badness 10000) in paragraph at lines 29781--29781 [297] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29934--29936 [] [298 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29963--29963 [] Underfull \hbox (badness 10000) in paragraph at lines 29963--29963 [299] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30126--30128 [] [300 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30183--30183 [] Underfull \hbox (badness 10000) in paragraph at lines 30183--30183 [301] [302 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30349--30349 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 30364--30366 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30393--30393 [] Underfull \hbox (badness 10000) in paragraph at lines 30393--30393 [303] [304 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30556--30558 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30613--30613 [] Underfull \hbox (badness 10000) in paragraph at lines 30613--30613 [305] [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30794--30796 [] [307 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30823--30823 [] Underfull \hbox (badness 10000) in paragraph at lines 30823--30823 [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30986--30988 [] [309 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31043--31043 [] Underfull \hbox (badness 10000) in paragraph at lines 31043--31043 [310] [311 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31209--31209 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31224--31226 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31253--31253 [] Underfull \hbox (badness 10000) in paragraph at lines 31253--31253 [312] [313 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31391--31391 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31406--31408 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31435--31435 [] Underfull \hbox (badness 10000) in paragraph at lines 31435--31435 [314] Underfull \hbox (badness 10000) in paragraph at lines 31573--31573 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [315 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31588--31590 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31617--31617 [] Underfull \hbox (badness 10000) in paragraph at lines 31617--31617 [316] [317 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31780--31782 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31837--31837 [] Underfull \hbox (badness 10000) in paragraph at lines 31837--31837 [318] [319] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32018--32020 [] [320 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32047--32047 [] Underfull \hbox (badness 10000) in paragraph at lines 32047--32047 [321] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32200--32202 [] [322 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32229--32229 [] Underfull \hbox (badness 10000) in paragraph at lines 32229--32229 [323] Underfull \hbox (badness 10000) in paragraph at lines 32367--32367 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 32382--32384 [] [324 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32411--32411 [] Underfull \hbox (badness 10000) in paragraph at lines 32411--32411 [325] [326 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32632--32634 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32661--32661 [] Underfull \hbox (badness 10000) in paragraph at lines 32661--32661 [327] [328 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32814--32816 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32843--32843 [] Underfull \hbox (badness 10000) in paragraph at lines 32843--32843 [329] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32996--32998 [] [330 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33025--33025 [] Underfull \hbox (badness 10000) in paragraph at lines 33025--33025 [331] Underfull \hbox (badness 10000) in paragraph at lines 33165--33165 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 33180--33182 [] [332 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33209--33209 [] Underfull \hbox (badness 10000) in paragraph at lines 33209--33209 [333] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33362--33364 [] [334 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33391--33391 [] Underfull \hbox (badness 10000) in paragraph at lines 33391--33391 [335] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33544--33546 [] [336 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33573--33573 [] Underfull \hbox (badness 10000) in paragraph at lines 33573--33573 [337] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33726--33728 [] [338 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33755--33755 [] Underfull \hbox (badness 10000) in paragraph at lines 33755--33755 [339] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33908--33910 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 33927--33927 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [340 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33937--33937 [] Underfull \hbox (badness 10000) in paragraph at lines 33937--33937 [341] Underfull \hbox (badness 10000) in paragraph at lines 34077--34077 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34077--34077 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 34077--34077 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34092--34094 [] [342 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 34111--34111 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34121--34121 [] Underfull \hbox (badness 10000) in paragraph at lines 34121--34121 [343] [344 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [345] Overfull \hbox (42.52957pt too wide) in paragraph at lines 34420--34422 [] [346] [347] [348 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [349] Underfull \hbox (badness 10000) in paragraph at lines 34968--34968 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [350 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [351] Underfull \hbox (badness 10000) in paragraph at lines 35126--35126 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran- Underfull \hbox (badness 10000) in paragraph at lines 35126--35126 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- Underfull \hbox (badness 10000) in paragraph at lines 35183--35183 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [352 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [353] [354 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [355 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [356 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [357] [358 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [359 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [360] Underfull \hbox (badness 10000) in paragraph at lines 36042--36044 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [361 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [362 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [363 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36286--36288 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36327--36329 []\T1/ptm/m/n/10 and [364] [365 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [366 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [367 <./inhe ritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [368 <./inheritance-5576 b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [369 <./inheritance-9d7aac3b6c2e0aed 0555fa923a3e3e94de4b6ce9.pdf>] [370 <./inheritance-c18ad8ab8f4940926b3f303c62cb 8aede2781316.pdf>] [371] [372] Chapter 6. [373] Underfull \hbox (badness 10000) in paragraph at lines 37201--37202 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 37201--37202 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 37212--37213 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37230--37231 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 37245--37246 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [374] [375] Underfull \hbox (badness 10000) in paragraph at lines 37408--37409 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use Underfull \hbox (badness 10000) in paragraph at lines 37494--37495 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [376] [377] Underfull \hbox (badness 10000) in paragraph at lines 37708--37711 [] Overfull \vbox (0.89006pt too high) detected at line 37732 [378] [379] [380] Underfull \hbox (badness 10000) in paragraph at lines 37930--37931 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 37957--37958 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 37960--37961 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 37984--37985 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [381] Underfull \hbox (badness 10000) in paragraph at lines 38048--38049 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 38092--38093 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [382] Underfull \hbox (badness 10000) in paragraph at lines 38182--38183 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [383] Underfull \hbox (badness 10000) in paragraph at lines 38260--38261 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 38266--38267 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 38302--38303 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [384] Underfull \hbox (badness 5374) in paragraph at lines 38318--38319 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [385] Underfull \hbox (badness 10000) in paragraph at lines 38404--38405 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [386] [387] Underfull \hbox (badness 10000) in paragraph at lines 38641--38642 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 38647--38648 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [388] Underfull \hbox (badness 10000) in paragraph at lines 38781--38782 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [389] Underfull \hbox (badness 10000) in paragraph at lines 38799--38800 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 38841--38842 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 38844--38845 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [390] Underfull \hbox (badness 8113) in paragraph at lines 38915--38916 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 38921--38922 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 38939--38940 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [391] Underfull \hbox (badness 10000) in paragraph at lines 39100--39101 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [392] [393] [394] [395] (./feature-labs-inc-evalml.ind [396] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [397] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 BinaryClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 189--191 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 189--191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class [398] Underfull \hbox (badness 10000) in paragraph at lines 191--193 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 191--193 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 193--195 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 197--199 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 201--203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 203--205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 215--217 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 215--217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 217--219 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 219--221 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 219--221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 227--229 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 231--233 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 235--237 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 235--237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 237--239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 239--241 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 243--245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 245--247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 249--251 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 249--251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 251--253 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 251--253 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 253--255 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 257--259 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 259--261 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [399] Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 267--269 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\T1/pcr/m/n/10 ClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 278--279 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 285--287 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (8.02017pt too wide) in paragraph at lines 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineClassifier Overfull \hbox (9.46036pt too wide) in paragraph at lines 291--293 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineRegressor Overfull \hbox (10.81021pt too wide) in paragraph at lines 293--295 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostClassifier Overfull \hbox (12.2504pt too wide) in paragraph at lines 295--297 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostRegressor Overfull \hbox (0.79085pt too wide) in paragraph at lines 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ComponentBase Overfull \hbox (15.60025pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 303--305 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 305--307 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropColumns Overfull \hbox (8.69058pt too wide) in paragraph at lines 307--309 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropNullColumns Overfull \hbox (15.24988pt too wide) in paragraph at lines 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetClassifier Overfull \hbox (16.69006pt too wide) in paragraph at lines 311--313 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 313--314 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Estimator Overfull \hbox (16.9501pt too wide) in paragraph at lines 314--316 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesClassifier Overfull \hbox (18.39029pt too wide) in paragraph at lines 316--318 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 318--319 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 319--321 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (1.69048pt too wide) in paragraph at lines 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LinearRegressor Overfull \hbox (49.3796pt too wide) in paragraph at lines 323--325 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LogisticRegressionClassifier Overfull \hbox (0.78084pt too wide) in paragraph at lines 325--327 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.OneHotEncoder Overfull \hbox (12.21062pt too wide) in paragraph at lines 327--329 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.PerColumnImputer Overfull \hbox (31.60023pt too wide) in paragraph at lines 329--331 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestClassifier Overfull \hbox (33.04042pt too wide) in paragraph at lines 331--333 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestRegressor Overfull \hbox (56.44995pt too wide) in paragraph at lines 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFClassifierSelectFromModel Overfull \hbox (57.89014pt too wide) in paragraph at lines 335--337 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Transformer Overfull \hbox (9.69035pt too wide) in paragraph at lines 351--353 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostClassifier Overfull \hbox (11.13054pt too wide) in paragraph at lines 353--355 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor Overfull \hbox (19.18016pt too wide) in paragraph at lines 355--357 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 357--359 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 361--363 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [400] Overfull \hbox (27.96046pt too wide) in paragraph at lines 365--367 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 367--369 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 369--371 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 371--373 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 373--375 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 377--378 []\T1/pcr/m/n/10 ComponentBase \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 416--418 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 432--434 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 434--435 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10 DataCheckMessageType \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 DateTimeFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [401] Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 457--458 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [402] Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 545--547 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 545--547 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 552--554 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 554--556 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 572--574 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 574--576 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 576--578 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 578--580 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 580--582 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 582--584 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 588--589 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 589--591 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 593--595 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 597--599 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (49.60023pt too wide) in paragraph at lines 599--601 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (74.44995pt too wide) in paragraph at lines 603--605 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 605--607 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (12.68059pt too wide) in paragraph at lines 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [403] Overfull \hbox (10.81046pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 631--633 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 634--635 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 635--636 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 635--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 641--642 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 650--652 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 652--654 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 654--656 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 668--669 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 690--692 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 692--693 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 695--697 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 697--699 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 699--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 702--704 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 705--707 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 707--709 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier Underfull \hbox (badness 10000) in paragraph at lines 711--713 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [404] Overfull \hbox (19.60023pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 719--721 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 721--723 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 729--731 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 731--733 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 740--742 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 746--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 749--750 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 750--752 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (39.46088pt too wide) in paragraph at lines 752--754 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 754--756 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 756--758 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 758--760 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 760--762 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 766--768 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 768--770 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 770--772 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (40.81046pt too wide) in paragraph at lines 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TextFeaturizer Overfull \hbox (33.10078pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 788--790 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 790--792 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 792--794 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 794--796 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 796--798 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 798--800 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 800--802 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 802--804 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 805--807 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 809--810 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel [405] Overfull \hbox (81.89014pt too wide) in paragraph at lines 818--820 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 836--838 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 838--840 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 840--842 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 842--844 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 graph_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 graph_roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 handle_model_family() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 handle_problem_types() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 888--889 []\T1/pcr/m/n/10 HighlyNullDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 889--891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 891--893 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 891--893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 893--895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 895--897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [406] Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 915--917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 917--919 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 917--919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 921--923 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 921--923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 923--925 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 923--925 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 925--927 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 927--929 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 929--931 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 929--931 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 931--933 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 931--933 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 933--935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 935--937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 937--939 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 937--939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 939--941 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 939--941 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 941--943 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 943--945 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 943--945 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 945--947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 947--949 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 947--949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 949--951 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 949--951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 951--953 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 953--955 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 959--961 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 961--963 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 969--970 []\T1/pcr/m/n/10 InvalidTargetDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 970--972 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 972--974 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 972--974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 974--976 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 982--984 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [407] Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 984--986 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 986--988 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 986--988 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 988--990 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 988--990 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 996--998 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 996--998 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 998--1000 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1000--1002 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1018--1020 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1018--1020 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1020--1022 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1022--1024 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1038--1040 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.GridSearchTuner method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1054--1056 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1056--1058 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1058--1060 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [408] Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 []\T1/pcr/m/n/10 LightGBMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1066--1067 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1078--1080 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1080--1082 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1082--1084 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1084--1086 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1094--1096 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1096--1098 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1098--1100 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1100--1102 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox (10.9501pt too wide) in paragraph at lines 1104--1106 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1106--1108 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (10.36026pt too wide) in paragraph at lines 1110--1112 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1114--1116 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1120--1122 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1134--1136 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1136--1138 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1140--1142 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1142--1144 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1144--1146 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1146--1148 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static [409] Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 MeanBaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (7.52121pt too wide) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckMessage Overfull \hbox (6.81137pt too wide) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 1187--1188 []\T1/pcr/m/n/10 ModeBaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1188--1190 []\T1/pcr/m/n/10 ModeBaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (9.96046pt too wide) in paragraph at lines 1190--1192 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1192--1194 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1194--1196 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (38.02017pt too wide) in paragraph at lines 1196--1198 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineClassifier Overfull \hbox (39.46036pt too wide) in paragraph at lines 1198--1200 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor Overfull \hbox (40.81021pt too wide) in paragraph at lines 1200--1202 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostClassifier Overfull \hbox (42.2504pt too wide) in paragraph at lines 1202--1204 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostRegressor Overfull \hbox (45.60025pt too wide) in paragraph at lines 1204--1206 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1206--1208 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1208--1210 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropColumns Overfull \hbox (38.69058pt too wide) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropNullColumns Overfull \hbox (45.24988pt too wide) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier Overfull \hbox (46.69006pt too wide) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetRegressor Overfull \hbox (46.9501pt too wide) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesClassifier Overfull \hbox (48.39029pt too wide) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (46.36026pt too wide) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMClassifier Overfull \hbox (31.69048pt too wide) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LinearRegressor Overfull \hbox (79.3796pt too wide) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LogisticRegressionClassifier Overfull \hbox (30.78084pt too wide) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Overfull \hbox (42.21062pt too wide) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.PerColumnImputer Overfull \hbox (61.60023pt too wide) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestClassifier Overfull \hbox (63.04042pt too wide) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestRegressor Overfull \hbox (86.44995pt too wide) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFClassifierSelectFromModel Overfull \hbox (87.89014pt too wide) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFRegressorSelectFromModel Overfull \hbox (24.68059pt too wide) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SelectColumns Overfull \hbox (24.12065pt too wide) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (22.81046pt too wide) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (39.69035pt too wide) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostClassifier Overfull \hbox (41.13054pt too wide) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostRegressor Overfull \hbox (49.18016pt too wide) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Underfull \hbox (badness 6542) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 MulticlassClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class [410] Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Highly NullDataCheck at- Underfull \hbox (badness 10000) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseline BinaryPipeline at- Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1306--1308 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1308--1310 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1310--1312 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropColumns at- Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.LogisticRegressionClassifier Overfull \hbox (13.60023pt too wide) in paragraph at lines 1333--1335 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestClassifier Overfull \hbox (15.04042pt too wide) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestRegressor Overfull \hbox (38.44995pt too wide) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFClassifierSelectFromModel Overfull \hbox (39.89014pt too wide) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1345--1347 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostClassifier Underfull \hbox (badness 7291) in paragraph at lines 1355--1357 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostRegressor Overfull \hbox (1.18016pt too wide) in paragraph at lines 1357--1359 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1366--1367 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1367--1369 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 1369--1371 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm [411] Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1373--1374 []\T1/pcr/m/n/10 NoVarianceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1374--1375 []\T1/pcr/m/n/10 number_of_features() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1382--1383 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1391--1393 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1393--1395 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1393--1395 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1395--1397 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1399--1400 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1402--1404 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Weighted method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1414--1415 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1415--1417 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1423--1425 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1425--1426 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1426--1428 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1426--1428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1430--1432 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1436--1438 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1438--1439 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.R2 Underfull \hbox (badness 10000) in paragraph at lines 1439--1440 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMicro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [412] Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1453--1454 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1456--1457 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1459--1461 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1459--1461 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1461--1463 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1463--1464 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1472--1474 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1474--1475 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1479--1480 []\T1/pcr/m/n/10 PerColumnImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1482--1484 []\T1/pcr/m/n/10 precision_recall_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1487--1489 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineBinaryPipeline Overfull \hbox (6.41pt too wide) in paragraph at lines 1489--1491 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineMulticlassPipeline Overfull \hbox (8.41026pt too wide) in paragraph at lines 1491--1493 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineRegressionPipeline Overfull \hbox (12.53014pt too wide) in paragraph at lines 1493--1495 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bin aryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1495--1497 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cla ssificationPipeline Overfull \hbox (20.02017pt too wide) in paragraph at lines 1497--1499 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier Overfull \hbox (21.46036pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineRegressor Overfull \hbox (22.81021pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier Overfull \hbox (24.2504pt too wide) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 1507--1509 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1509--1511 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetClassifier Overfull \hbox (28.69006pt too wide) in paragraph at lines 1511--1513 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1513--1515 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator Overfull \hbox (28.9501pt too wide) in paragraph at lines 1515--1517 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier Overfull \hbox (30.39029pt too wide) in paragraph at lines 1517--1519 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (28.36026pt too wide) in paragraph at lines 1519--1521 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMClassifier Overfull \hbox (13.69048pt too wide) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LinearRegressor Overfull \hbox (61.3796pt too wide) in paragraph at lines 1523--1525 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LogisticRegressionClassifier Overfull \hbox (43.60023pt too wide) in paragraph at lines 1525--1527 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestClassifier Overfull \hbox (45.04042pt too wide) in paragraph at lines 1527--1529 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1533--1535 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostClassifier Overfull \hbox (23.13054pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostRegressor Overfull \hbox (31.18016pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mea nBaselineRegressionPipeline Overfull \hbox (14.73036pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineBinaryPipeline [413] Overfull \hbox (29.1799pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineMulticlassPipeline Overfull \hbox (26.97968pt too wide) in paragraph at lines 1543--1545 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 1545--1546 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Pip elineBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1546--1547 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1547--1549 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 1549--1551 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 1551--1553 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 1553--1555 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (56.02017pt too wide) in paragraph at lines 1555--1557 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineClassifier Overfull \hbox (57.46036pt too wide) in paragraph at lines 1557--1559 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineRegressor Overfull \hbox (58.81021pt too wide) in paragraph at lines 1559--1561 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostClassifier Overfull \hbox (60.2504pt too wide) in paragraph at lines 1561--1563 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1563--1565 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 1565--1567 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1567--1569 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetClassifier Overfull \hbox (64.69006pt too wide) in paragraph at lines 1569--1571 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetRegressor Overfull \hbox (22.69072pt too wide) in paragraph at lines 1571--1573 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Estimator Overfull \hbox (64.9501pt too wide) in paragraph at lines 1573--1575 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesClassifier Overfull \hbox (66.39029pt too wide) in paragraph at lines 1575--1577 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (64.36026pt too wide) in paragraph at lines 1577--1579 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier Overfull \hbox (49.69048pt too wide) in paragraph at lines 1579--1581 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LinearRegressor Overfull \hbox (97.3796pt too wide) in paragraph at lines 1581--1583 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LogisticRegressionClassifier Overfull \hbox (79.60023pt too wide) in paragraph at lines 1583--1585 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestClassifier Overfull \hbox (81.04042pt too wide) in paragraph at lines 1585--1587 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 1587--1589 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1589--1591 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1591--1593 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostClassifier Overfull \hbox (59.13054pt too wide) in paragraph at lines 1593--1595 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostRegressor Overfull \hbox (50.73036pt too wide) in paragraph at lines 1595--1597 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 1597--1599 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 1599--1601 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1601--1603 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (30.53014pt too wide) in paragraph at lines 1607--1609 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BinaryClassificationPipeline Overfull \hbox (3.31042pt too wide) in paragraph at lines 1609--1611 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ClassificationPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1611--1613 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1613--1615 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1615--1617 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (44.97968pt too wide) in paragraph at lines 1617--1619 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1619--1620 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. PipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 1620--1622 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1624--1625 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner Underfull \hbox (badness 10000) in paragraph at lines 1631--1633 []\T1/pcr/m/n/10 RandomForestClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1633--1635 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [414] Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 RFClassifierSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 []\T1/pcr/m/n/10 RFRegressorSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1646--1647 []\T1/pcr/m/n/10 roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1647--1648 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1648--1649 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1653--1654 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1654--1656 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1656--1658 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1660--1661 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Classi ficationPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1661--1663 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1663--1665 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1667--1669 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1671--1673 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1673--1675 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1675--1677 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1677--1678 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1678--1680 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1680--1682 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1682--1684 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1684--1685 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Estimator Overfull \hbox (10.9501pt too wide) in paragraph at lines 1685--1687 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1687--1689 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (10.36026pt too wide) in paragraph at lines 1690--1692 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1694--1696 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1700--1702 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1702--1704 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1704--1706 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1706--1708 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1712--1714 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1716--1718 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1721--1723 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1723--1725 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1725--1727 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1729--1731 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1731--1733 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Accu racyMulticlass [415] Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyBinary Overfull \hbox (5.9003pt too wide) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass Overfull \hbox (9.39989pt too wide) in paragraph at lines 1745--1747 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1755--1756 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossBinary method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1756--1757 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1761--1762 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mean SquaredLogError Overfull \hbox (23.84943pt too wide) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1766--1767 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Obje ctiveBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1770--1771 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Prec isionWeighted Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Regr essionObjective Underfull \hbox (badness 10000) in paragraph at lines 1777--1778 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredError Overfull \hbox (1.26079pt too wide) in paragraph at lines 1778--1780 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1780--1782 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1788--1790 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 1790--1792 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1792--1794 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1794--1796 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 1796--1798 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1801--1802 []\T1/pcr/m/n/10 SelectColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 []\T1/pcr/m/n/10 SimpleImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1805--1807 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1807--1809 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1809--1810 []\T1/pcr/m/n/10 StandardScaler \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (19.18016pt too wide) in paragraph at lines 1816--1818 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1818--1820 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1820--1822 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1822--1824 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1822--1824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1824--1826 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1824--1826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1826--1828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [416] Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1830--1832 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1830--1832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1832--1834 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1832--1834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1834--1836 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1834--1836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1836--1838 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1836--1838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1838--1840 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1838--1840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1840--1842 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1842--1844 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1842--1844 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1846--1848 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1846--1848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1848--1850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1850--1852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1852--1854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1854--1856 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1854--1856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1856--1858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1858--1860 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1858--1860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1863--1864 []\T1/pcr/m/n/10 target_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1864--1865 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1865--1866 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (39.60025pt too wide) in paragraph at lines 1866--1868 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropColumns Overfull \hbox (32.69058pt too wide) in paragraph at lines 1870--1872 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Imputer Overfull \hbox (24.78084pt too wide) in paragraph at lines 1874--1876 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder Overfull \hbox (36.21062pt too wide) in paragraph at lines 1876--1878 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.PerColumnImputer Overfull \hbox (80.44995pt too wide) in paragraph at lines 1878--1880 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 1880--1882 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Overfull \hbox (18.68059pt too wide) in paragraph at lines 1882--1884 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SelectColumns Overfull \hbox (18.12065pt too wide) in paragraph at lines 1884--1886 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SimpleImputer Overfull \hbox (21.09074pt too wide) in paragraph at lines 1886--1888 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (16.81046pt too wide) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TextFeaturizer Overfull \hbox (9.10078pt too wide) in paragraph at lines 1890--1892 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1900--1901 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 1903--1905 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 1905--1907 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 1907--1909 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1909--1911 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 1911--1913 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 1913--1915 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck [417] Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1919--1920 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1921--1922 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1926--1928 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1926--1928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1928--1930 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1928--1930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1930--1932 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1935--1936 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Macro Underfull \hbox (badness 10000) in paragraph at lines 1936--1937 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Micro Underfull \hbox (badness 10000) in paragraph at lines 1939--1940 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1944--1946 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1946--1947 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1947--1948 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1953--1954 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1954--1955 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1955--1957 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1955--1957 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1959--1960 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Precision Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1967--1968 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1983--1985 []\T1/pcr/m/n/10 XGBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1985--1986 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [418] [419]) (./feature-labs-inc-evalml.aux) LaTeX Warning: There were multiply-defined labels. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (423 pages, 1914844 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Collected error summary (may duplicate other messages): pdflatex: Command for 'pdflatex' gave return code 256 Latexmk: Errors, in force_mode: so I tried finishing targets [rtd-command-info] start-time: 2020-11-06T21:57:52.188303Z, end-time: 2020-11-06T21:57:52.289702Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/latest/sphinx_pdf/feature-labs-inc-evalml.pdf [rtd-command-info] start-time: 2020-11-06T23:00:45.120704Z, end-time: 2020-11-06T23:00:48.139854Z, duration: 3, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,140.82.112.3' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-11-06T23:00:48.630379Z, end-time: 2020-11-06T23:00:48.843845Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at a5e6c50e make_pipeline_from_components accepts a random state (#1411) [rtd-command-info] start-time: 2020-11-06T23:00:49.077427Z, end-time: 2020-11-06T23:00:49.166507Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-06T23:00:50.638476Z, end-time: 2020-11-06T23:00:56.977984Z, duration: 6, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.9' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-06T23:00:57.160309Z, end-time: 2020-11-06T23:00:58.240746Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-06T23:00:58.340995Z, end-time: 2020-11-06T23:01:11.542314Z, duration: 13, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.tar.gz (818 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.1-py2.py3-none-any.whl (13 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.2-py3-none-any.whl (948 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting pytz>=2015.7 Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Building wheels for collected packages: mock, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23754 sha256=0eb2d4cf1c9a0178c06c73e4020fa23547b277687382806b6ca27ac91e7fa373 Stored in directory: /tmp/pip-ephem-wheel-cache-dwpahrjz/wheels/16/03/37/f0a64ab894c9102906f192db1a4071b7592292ad661563c69b Building wheel for future (setup.py): started Building wheel for future (setup.py): finished with status 'done' Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491059 sha256=4806ad78f1fe20211d040f22253aa005db896677410ea99bf237da1cbe4f2262 Stored in directory: /tmp/pip-ephem-wheel-cache-dwpahrjz/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, urllib3, certifi, chardet, idna, requests, pytz, babel, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, Pygments, imagesize, snowballstemmer, six, pyparsing, packaging, MarkupSafe, Jinja2, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.2 alabaster-0.7.12 babel-2.8.0 certifi-2020.6.20 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.4 readthedocs-sphinx-ext-2.1.1 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.25.11 [rtd-command-info] start-time: 2020-11-06T23:01:11.655087Z, end-time: 2020-11-06T23:02:49.828861Z, duration: 98, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.16.4 Downloading numpy-1.19.4-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) Collecting pandas>=0.25.0 Downloading pandas-1.1.4-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.4-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn>=0.23 Downloading scikit_learn-0.23.2-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.7.3.tar.gz (465 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting shap>=0.35.0 Downloading shap-0.37.0.tar.gz (326 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork>=0.0.3 Downloading woodwork-0.0.4-py3-none-any.whl (45 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.21.0-py3-none-any.whl (293 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting plotly>=4.2.1 Downloading plotly-4.12.0-py2.py3-none-any.whl (13.1 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.2-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting graphviz>=0.13 Downloading graphviz-0.14.2-py2.py3-none-any.whl (18 kB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.15.0) (2020.4) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting joblib>=0.11 Downloading joblib-0.17.0-py3-none-any.whl (301 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.51.0-py2.py3-none-any.whl (70 kB) Collecting slicer==0.0.3 Downloading slicer-0.0.3-py3-none-any.whl (11 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2.30.0-py3-none-any.whl (848 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.3.1.tar.gz (269 kB) Collecting distributed>=2.12.0 Downloading distributed-2.30.1-py3-none-any.whl (656 kB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.15.0) (1.15.0) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting setuptools Downloading setuptools-50.3.2-py3-none-any.whl (785 kB) Collecting llvmlite<0.35,>=0.34.0.dev0 Downloading llvmlite-0.34.0-cp37-cp37m-manylinux2010_x86_64.whl (24.6 MB) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.4-py3-none-any.whl (91 kB) Collecting toolz>=0.8.2; extra == "dataframe" Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting regex Downloading regex-2020.10.28-cp37-cp37m-manylinux2014_x86_64.whl (721 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.5-py3-none-any.whl (9.5 MB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.15.0) (2.7.2) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.8-py3-none-any.whl (355 kB) Collecting pillow>=6.2.0 Downloading Pillow-8.0.1-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2.4.7) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2020.6.20) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting pyzmq>=13 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (2.11.2) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (1.1.1) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, pyyaml, nltk, retrying, locket, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.15.0-py3-none-any.whl size=5997037 sha256=7d67fa83a6c0cbbdad618c6b0f0a7a1526da3a380a194917e65ab9fb17ed2e99 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/9e/21/10/381af54b3fd898f3030a593880d99f016a134a0a141dcf2f28 Building wheel for psutil (setup.py): started Building wheel for psutil (setup.py): finished with status 'done' Created wheel for psutil: filename=psutil-5.7.3-cp37-cp37m-linux_x86_64.whl size=285321 sha256=d7b93c8d13cb8cb8a72eaa2abf92ea94ad9e65fe7f78b3c718d9a24c705c5aa9 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/f0/4b/57/d037639271e326da3e80e0ddc37bd3d5da7bbf48b3173be557 Building wheel for requirements-parser (setup.py): started Building wheel for requirements-parser (setup.py): finished with status 'done' Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7656 sha256=c0672002dae77171d9147516e23dc821af3f841a87e73aa72d7c7f5939916c45 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/40/e4/ca/8af24ee94c3863d620d6a52793d82930f4d1d3515a5121d495 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.37.0-cp37-cp37m-linux_x86_64.whl size=468574 sha256=7f14695ed35a2c3e92f17979086cb31a56394967eb1839931503dac33355b185 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/df/b8/18/2c0a6105152e62dd9a7cf47b5110b9cedb0c8739babdef64b7 Building wheel for pyyaml (setup.py): started Building wheel for pyyaml (setup.py): finished with status 'done' Created wheel for pyyaml: filename=PyYAML-5.3.1-cp37-cp37m-linux_x86_64.whl size=44619 sha256=53d58fe96d65985cb78600ba91eb0d7cca0ca075daf7886386990b73afe5a406 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434677 sha256=d6b2bf8684cc3efd219c9e4bab3e55261cd640708a47e67198a440610f46cc22 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 Building wheel for retrying (setup.py): started Building wheel for retrying (setup.py): finished with status 'done' Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11429 sha256=a56657e8b147b6833396a7f2e4412e4586ef691249a24f7cfadc0235bfdff201 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf Building wheel for locket (setup.py): started Building wheel for locket (setup.py): finished with status 'done' Created wheel for locket: filename=locket-0.2.0-py3-none-any.whl size=4040 sha256=0eb60808e5e930dfbe7c061f0e6da2e9198dbf90dc9dd9532226344f35887488 Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-linux_x86_64.whl size=115299 sha256=da6d097f3af72483fa2abeeb6b2653f150aba649cec9317df183d1ddc2ba795f Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/a5/52/bf/71258a1d7b3c8cbe1ee53f9314c6f65f20385481eaee573cc5 Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7991 sha256=cba9e0199729c6df0f2d51fb6d64321f1d70ff353d2b6c3300963bcdc504799d Stored in directory: /tmp/pip-ephem-wheel-cache-wdbosk5z/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000 Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying locket pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, joblib, threadpoolctl, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, setuptools, llvmlite, numba, shap, texttable, woodwork, fsspec, toolz, locket, partd, dask, msgpack, heapdict, zict, tblib, tornado, sortedcontainers, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, ipython-genutils, traitlets, attrs, pyrsistent, zipp, importlib-metadata, jsonschema, jupyter-core, nbformat, pyzmq, jupyter-client, parso, jedi, decorator, backcall, ptyprocess, pexpect, pickleshare, wcwidth, prompt-toolkit, ipython, ipykernel, Send2Trash, prometheus-client, testpath, nest-asyncio, async-generator, nbclient, pandocfilters, defusedxml, webencodings, bleach, jupyterlab-pygments, mistune, entrypoints, nbconvert, pycparser, cffi, argon2-cffi, terminado, notebook, widgetsnbextension, ipywidgets, xgboost, pillow, kiwisolver, cycler, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.3.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.1 entrypoints-0.3 evalml-0.15.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.5 numba-0.51.2 numpy-1.19.4 pandas-1.1.4 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 setuptools-50.3.2 shap-0.37.0 slicer-0.0.3 sortedcontainers-2.2.2 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.1 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-06T23:02:50.057508Z, end-time: 2020-11-06T23:03:02.249288Z, duration: 12, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 1)) (1.19.4) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.4) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.4) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.3) Requirement already satisfied: requirements-parser>=0.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.37.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: woodwork>=0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 14)) (0.21.0) Requirement already satisfied: nlp-primitives>=1.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 15)) (1.1.0) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.12.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.14.2) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (7.19.0) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Requirement already satisfied: PyYAML==5.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 7)) (5.3.1) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.4) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.17.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.51.0) Requirement already satisfied: distributed>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.1) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.0) Requirement already satisfied: nltk>=3.4.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (3.5) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.8) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) Collecting more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.6.0-py3-none-any.whl (45 kB) Collecting py>=1.5.0 Downloading py-1.9.0-py2.py3-none-any.whl (99 kB) Collecting pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.3.0) Collecting pytest-forked Downloading pytest_forked-1.3.0-py2.py3-none-any.whl (4.7 kB) Collecting execnet>=1.1 Downloading execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting coverage>=4.4 Downloading coverage-5.3-cp37-cp37m-manylinux1_x86_64.whl (229 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.4.2) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.2) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.8.0) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.0) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (3.0.8) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.24.0) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting pycodestyle<2.6.0,>=2.5.0 Downloading pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Collecting mccabe<0.7.0,>=0.6.0 Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (1.4.3) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.4.4) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (3.2.1) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.6.3) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.6.0) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from numba->shap>=0.35.0->-r core-requirements.txt (line 11)) (0.34.0) Requirement already satisfied: msgpack>=0.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.0) Requirement already satisfied: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (6.1) Requirement already satisfied: tblib>=1.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.7.0) Requirement already satisfied: toolz>=0.8.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.11.1) Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.2.2) Requirement already satisfied: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.0.0) Requirement already satisfied: partd>=0.3.10; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.1.0) Requirement already satisfied: fsspec>=0.6.0; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.8.4) Requirement already satisfied: regex in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.10.28) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.1.5) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.2.0) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (0.10.0) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2.4.7) Requirement already satisfied: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2020.6.20) Requirement already satisfied: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jedi>=0.10->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.1) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pexpect>4.3; sys_platform != "win32"->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.6.0) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.5) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2.10) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.25.11) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Jinja2>=2.3->Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.1) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.5.1) Requirement already satisfied: heapdict in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from zict>=0.1.3->distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.1) Requirement already satisfied: locket in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from partd>=0.3.10; extra == "dataframe"->dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.2.0) Requirement already satisfied: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.5.0) Requirement already satisfied: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.8.0) Requirement already satisfied: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.1) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (20.1.0) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.3) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.4.0) Requirement already satisfied: cffi>=1.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (2.20) Building wheels for collected packages: codecov, autopep8 Building wheel for codecov (setup.py): started Building wheel for codecov (setup.py): finished with status 'done' Created wheel for codecov: filename=codecov-2.1.0-py2.py3-none-any.whl size=15152 sha256=78399730c8b8ec0b39c782185f02ddcdaf11fb5ad977728cf8b9636c6a8b5c1d Stored in directory: /tmp/pip-ephem-wheel-cache-w2iryx4m/wheels/8a/24/33/292f49f78eaf4a3dd0db5b46cc75bf33b2af4a90ceff600cfe Building wheel for autopep8 (setup.py): started Building wheel for autopep8 (setup.py): finished with status 'done' Created wheel for autopep8: filename=autopep8-1.4.3-py2.py3-none-any.whl size=42228 sha256=1319308f7347181b84485eb16ae6d15260e5db892f1a762592111f78e2fcd7c4 Stored in directory: /tmp/pip-ephem-wheel-cache-w2iryx4m/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: atomicwrites, more-itertools, py, pluggy, pytest, pytest-forked, apipkg, execnet, pytest-xdist, coverage, pytest-cov, nbval, codecov, pyflakes, pycodestyle, mccabe, flake8, autopep8, isort, sphinxcontrib-applehelp, sphinxcontrib-jsmath, sphinxcontrib-devhelp, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 codecov-2.1.0 coverage-5.3 execnet-1.7.1 flake8-3.7.0 isort-4.3.4 mccabe-0.6.1 more-itertools-8.6.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.9.0 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 [rtd-command-info] start-time: 2020-11-06T23:03:26.126435Z, end-time: 2020-11-06T23:03:26.220520Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': 'a5e6c50e', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-11-06T23:03:26.703977Z, end-time: 2020-11-06T23:51:09.067089Z, duration: 2862, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: 868 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 5%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 42%] generated/methods/evalml.objectives.Precision.score reading sources... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.R2.score reading sources... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 45%] generated/methods/evalml.objectives.Recall.score reading sources... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] demos/text_input writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 1%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_churn writing output... [ 2%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 5%] generated/evalml.objectives.AccuracyBinary writing output... [ 5%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 6%] generated/evalml.objectives.F1 writing output... [ 6%] generated/evalml.objectives.F1Macro writing output... [ 6%] generated/evalml.objectives.F1Micro writing output... [ 6%] generated/evalml.objectives.F1Weighted writing output... [ 7%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 7%] generated/evalml.objectives.MCCBinary writing output... [ 7%] generated/evalml.objectives.MCCMulticlass writing output... [ 7%] generated/evalml.objectives.MSE writing output... [ 7%] generated/evalml.objectives.MaxError writing output... [ 8%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 8%] generated/evalml.objectives.Precision writing output... [ 8%] generated/evalml.objectives.PrecisionMacro writing output... [ 8%] generated/evalml.objectives.PrecisionMicro writing output... [ 8%] generated/evalml.objectives.PrecisionWeighted writing output... [ 8%] generated/evalml.objectives.R2 writing output... [ 9%] generated/evalml.objectives.Recall writing output... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 9%] generated/evalml.objectives.RecallWeighted writing output... [ 9%] generated/evalml.objectives.RegressionObjective writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 9%] generated/evalml.objectives.get_all_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objectives writing output... [ 10%] generated/evalml.objectives.get_non_core_objectives writing output... [ 10%] generated/evalml.objectives.get_objective writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] generated/evalml.pipelines.RegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 11%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 12%] generated/evalml.pipelines.components.ComponentBase writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 13%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 13%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 14%] generated/evalml.pipelines.components.SelectColumns writing output... [ 14%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 15%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 17%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 23%] generated/methods/evalml.objectives.AUC.score writing output... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 31%] generated/methods/evalml.objectives.F1.score writing output... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MAE.score writing output... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MaxError.score writing output... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 42%] generated/methods/evalml.objectives.Precision.score writing output... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 44%] generated/methods/evalml.objectives.R2.score writing output... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 45%] generated/methods/evalml.objectives.Recall.score writing output... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 39%] evalml.objectives.utils highlighting module code... [ 40%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 41%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 42%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 43%] evalml.pipelines.classification_pipeline highlighting module code... [ 44%] evalml.pipelines.components.component_base highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_base highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 48%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 57%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 59%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 68%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 70%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 71%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 78%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 85%] evalml.pipelines.components.utils highlighting module code... [ 86%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 87%] evalml.pipelines.pipeline_base highlighting module code... [ 88%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search copying images... [ 16%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 33%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_33_0.svg copying images... [ 50%] images/evalml_horizontal.svg copying images... [ 66%] _build/doctrees-readthedocs/nbsphinx/start_22_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_16_0.svg copying static files... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2020-11-06T23:15:18.124847Z, end-time: 2020-11-06T23:15:20.186577Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.113' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-11-06T23:15:20.536480Z, end-time: 2020-11-06T23:15:20.756188Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at a5e6c50e make_pipeline_from_components accepts a random state (#1411) [rtd-command-info] start-time: 2020-11-06T23:15:20.862662Z, end-time: 2020-11-06T23:15:20.936723Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-06T23:15:22.380610Z, end-time: 2020-11-06T23:15:28.508054Z, duration: 6, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.9' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-06T23:15:29.150191Z, end-time: 2020-11-06T23:15:30.214232Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-06T23:15:30.433219Z, end-time: 2020-11-06T23:15:43.282269Z, duration: 12, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.tar.gz (818 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.1-py2.py3-none-any.whl (13 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.2-py3-none-any.whl (948 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting pytz>=2015.7 Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23754 sha256=df0eff0606c28bc4169575eda854c9c0e06a03418518f8ea739cf357732bd45a Stored in directory: /tmp/pip-ephem-wheel-cache-mxph0ds9/wheels/16/03/37/f0a64ab894c9102906f192db1a4071b7592292ad661563c69b Building wheel for future (setup.py): started Building wheel for future (setup.py): finished with status 'done' Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491059 sha256=6cc065eb8c91779016fc03a8cc69d1650d8db201bf694134f0c4050e5d32502b Stored in directory: /tmp/pip-ephem-wheel-cache-mxph0ds9/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, pytz, babel, six, pyparsing, packaging, Pygments, imagesize, MarkupSafe, Jinja2, idna, urllib3, chardet, certifi, requests, snowballstemmer, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.2 alabaster-0.7.12 babel-2.8.0 certifi-2020.6.20 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.4 readthedocs-sphinx-ext-2.1.1 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.25.11 [rtd-command-info] start-time: 2020-11-06T23:15:43.609312Z, end-time: 2020-11-06T23:17:15.171994Z, duration: 91, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.16.4 Downloading numpy-1.19.4-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) Collecting pandas>=0.25.0 Downloading pandas-1.1.4-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.4-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn>=0.23 Downloading scikit_learn-0.23.2-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.7.3.tar.gz (465 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting shap>=0.35.0 Downloading shap-0.37.0.tar.gz (326 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork>=0.0.3 Downloading woodwork-0.0.4-py3-none-any.whl (45 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.21.0-py3-none-any.whl (293 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting plotly>=4.2.1 Downloading plotly-4.12.0-py2.py3-none-any.whl (13.1 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.2-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting graphviz>=0.13 Downloading graphviz-0.14.2-py2.py3-none-any.whl (18 kB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.15.0) (2020.4) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting joblib>=0.11 Downloading joblib-0.17.0-py3-none-any.whl (301 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.51.0-py2.py3-none-any.whl (70 kB) Collecting slicer==0.0.3 Downloading slicer-0.0.3-py3-none-any.whl (11 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting distributed>=2.12.0 Downloading distributed-2.30.1-py3-none-any.whl (656 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.3.1.tar.gz (269 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2.30.0-py3-none-any.whl (848 kB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.15.0) (1.15.0) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting setuptools Downloading setuptools-50.3.2-py3-none-any.whl (785 kB) Collecting llvmlite<0.35,>=0.34.0.dev0 Downloading llvmlite-0.34.0-cp37-cp37m-manylinux2010_x86_64.whl (24.6 MB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.4-py3-none-any.whl (91 kB) Collecting regex Downloading regex-2020.10.28-cp37-cp37m-manylinux2014_x86_64.whl (721 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.5-py3-none-any.whl (9.5 MB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.8-py3-none-any.whl (355 kB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.15.0) (2.7.2) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2020.6.20) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2.4.7) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting pillow>=6.2.0 Downloading Pillow-8.0.1-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting pyzmq>=17 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (2.11.2) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (1.1.1) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, pyyaml, nltk, retrying, locket, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.15.0-py3-none-any.whl size=5997037 sha256=f342ea9ace0e523bf0768878093780ee14eac46ac120a8d036af13c365869ed8 Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/9e/21/10/381af54b3fd898f3030a593880d99f016a134a0a141dcf2f28 Building wheel for psutil (setup.py): started Building wheel for psutil (setup.py): finished with status 'done' Created wheel for psutil: filename=psutil-5.7.3-cp37-cp37m-linux_x86_64.whl size=285329 sha256=572be3518bd682ab1d4dda60470a7f81eac03d1aeef3d3d3c1d501aec899ac34 Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/f0/4b/57/d037639271e326da3e80e0ddc37bd3d5da7bbf48b3173be557 Building wheel for requirements-parser (setup.py): started Building wheel for requirements-parser (setup.py): finished with status 'done' Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7656 sha256=3fde34b2eb1d5f314eddbeb2ac67c2e78bd28654c36faa047a27a6e750c90f3c Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/40/e4/ca/8af24ee94c3863d620d6a52793d82930f4d1d3515a5121d495 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.37.0-cp37-cp37m-linux_x86_64.whl size=468579 sha256=bfb1849d48dce0de93e643a5e42b2c43a0383a35dc72272cce156810113abfd9 Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/df/b8/18/2c0a6105152e62dd9a7cf47b5110b9cedb0c8739babdef64b7 Building wheel for pyyaml (setup.py): started Building wheel for pyyaml (setup.py): finished with status 'done' Created wheel for pyyaml: filename=PyYAML-5.3.1-cp37-cp37m-linux_x86_64.whl size=44619 sha256=95b18f824898c45671643f0b5843151d08c93abe11f0e9d68329be34c165ce59 Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434673 sha256=544307676a2061ea91716532de441b9c5adf361460826be7b9fa29e24569d3ef Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 Building wheel for retrying (setup.py): started Building wheel for retrying (setup.py): finished with status 'done' Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11429 sha256=9b1bcb8d01f82961557157b8dbff940874a0855932d52012233cdd3fea72675d Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf Building wheel for locket (setup.py): started Building wheel for locket (setup.py): finished with status 'done' Created wheel for locket: filename=locket-0.2.0-py3-none-any.whl size=4040 sha256=475b44f962537793a7147822c35b74ed8d8cb71ccb4910789bbad4d7070b44b2 Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-linux_x86_64.whl size=115303 sha256=cc22eacc14c56f32efcd3d0f0259dc55272e8ede606f963222a1e9430a500c40 Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/a5/52/bf/71258a1d7b3c8cbe1ee53f9314c6f65f20385481eaee573cc5 Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7991 sha256=aa843d442b2a10714f3cbf0959e283c7f0b42fdfa5b50d60d9c25d1e32a25fdf Stored in directory: /tmp/pip-ephem-wheel-cache-_unukwwt/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000 Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying locket pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, threadpoolctl, joblib, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, setuptools, llvmlite, numba, shap, texttable, woodwork, tblib, heapdict, zict, tornado, toolz, locket, partd, fsspec, dask, msgpack, sortedcontainers, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, pyrsistent, attrs, zipp, importlib-metadata, jsonschema, ipython-genutils, traitlets, jupyter-core, nbformat, pyzmq, ptyprocess, terminado, Send2Trash, jupyter-client, testpath, async-generator, nest-asyncio, nbclient, jupyterlab-pygments, mistune, entrypoints, webencodings, bleach, defusedxml, pandocfilters, nbconvert, prometheus-client, pickleshare, pexpect, decorator, wcwidth, prompt-toolkit, parso, jedi, backcall, ipython, ipykernel, pycparser, cffi, argon2-cffi, notebook, widgetsnbextension, ipywidgets, xgboost, kiwisolver, cycler, pillow, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.3.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.1 entrypoints-0.3 evalml-0.15.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.5 numba-0.51.2 numpy-1.19.4 pandas-1.1.4 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 setuptools-50.3.2 shap-0.37.0 slicer-0.0.3 sortedcontainers-2.2.2 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.1 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-06T23:17:15.699604Z, end-time: 2020-11-06T23:17:27.230168Z, duration: 11, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 1)) (1.19.4) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.4) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.4) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.3) Requirement already satisfied: requirements-parser>=0.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.37.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: woodwork>=0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 14)) (0.21.0) Requirement already satisfied: nlp-primitives>=1.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 15)) (1.1.0) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.12.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.14.2) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (7.19.0) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Requirement already satisfied: PyYAML==5.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 7)) (5.3.1) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.4) Requirement already satisfied: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.17.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.51.0) Requirement already satisfied: distributed>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.1) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.0) Requirement already satisfied: nltk>=3.4.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (3.5) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.8) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) Collecting more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.6.0-py3-none-any.whl (45 kB) Collecting pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Collecting py>=1.5.0 Downloading py-1.9.0-py2.py3-none-any.whl (99 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.3.0) Collecting execnet>=1.1 Downloading execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting pytest-forked Downloading pytest_forked-1.3.0-py2.py3-none-any.whl (4.7 kB) Collecting coverage>=4.4 Downloading coverage-5.3-cp37-cp37m-manylinux1_x86_64.whl (229 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (3.0.8) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.2) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.8.0) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.0) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.4.2) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.24.0) Collecting mccabe<0.7.0,>=0.6.0 Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Collecting pycodestyle<2.6.0,>=2.5.0 Downloading pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.4.4) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (3.2.1) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.6.3) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (1.4.3) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.6.0) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from numba->shap>=0.35.0->-r core-requirements.txt (line 11)) (0.34.0) Requirement already satisfied: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.0.0) Requirement already satisfied: tblib>=1.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.7.0) Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.2.2) Requirement already satisfied: toolz>=0.8.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.11.1) Requirement already satisfied: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (6.1) Requirement already satisfied: msgpack>=0.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.0) Requirement already satisfied: partd>=0.3.10; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.1.0) Requirement already satisfied: fsspec>=0.6.0; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.8.4) Requirement already satisfied: regex in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.10.28) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.2.0) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.1.5) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2.4.7) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (0.10.0) Requirement already satisfied: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2020.6.20) Requirement already satisfied: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.5) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pexpect>4.3; sys_platform != "win32"->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.6.0) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jedi>=0.10->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.1) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2.10) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (3.0.4) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.25.11) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Jinja2>=2.3->Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.1) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.5.1) Requirement already satisfied: heapdict in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from zict>=0.1.3->distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.1) Requirement already satisfied: locket in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from partd>=0.3.10; extra == "dataframe"->dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.2.0) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.3) Requirement already satisfied: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.5.0) Requirement already satisfied: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.8.0) Requirement already satisfied: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.1) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (20.1.0) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.4.0) Requirement already satisfied: cffi>=1.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (2.20) Building wheels for collected packages: codecov, autopep8 Building wheel for codecov (setup.py): started Building wheel for codecov (setup.py): finished with status 'done' Created wheel for codecov: filename=codecov-2.1.0-py2.py3-none-any.whl size=15152 sha256=7a6b56d0fe5ef9b64b908b830e33fd7563d024b74c1da118eead299ac7edd9ac Stored in directory: /tmp/pip-ephem-wheel-cache-m8fbnfx9/wheels/8a/24/33/292f49f78eaf4a3dd0db5b46cc75bf33b2af4a90ceff600cfe Building wheel for autopep8 (setup.py): started Building wheel for autopep8 (setup.py): finished with status 'done' Created wheel for autopep8: filename=autopep8-1.4.3-py2.py3-none-any.whl size=42228 sha256=6448f53cad5576c6c95e4038a532d3a82dff1db1ed84d751ce34417da72194db Stored in directory: /tmp/pip-ephem-wheel-cache-m8fbnfx9/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: atomicwrites, more-itertools, pluggy, py, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, mccabe, pyflakes, pycodestyle, flake8, autopep8, isort, sphinxcontrib-applehelp, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-jsmath, sphinxcontrib-qthelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 codecov-2.1.0 coverage-5.3 execnet-1.7.1 flake8-3.7.0 isort-4.3.4 mccabe-0.6.1 more-itertools-8.6.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.9.0 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 [rtd-command-info] start-time: 2020-11-06T23:18:06.776077Z, end-time: 2020-11-06T23:18:06.898235Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': 'a5e6c50e', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-11-06T23:18:07.010647Z, end-time: 2020-11-06T23:45:26.812186Z, duration: 1639, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: 868 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 5%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 42%] generated/methods/evalml.objectives.Precision.score reading sources... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.R2.score reading sources... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 45%] generated/methods/evalml.objectives.Recall.score reading sources... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] demos/text_input writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 1%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_churn writing output... [ 2%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 5%] generated/evalml.objectives.AccuracyBinary writing output... [ 5%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 6%] generated/evalml.objectives.F1 writing output... [ 6%] generated/evalml.objectives.F1Macro writing output... [ 6%] generated/evalml.objectives.F1Micro writing output... [ 6%] generated/evalml.objectives.F1Weighted writing output... [ 7%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 7%] generated/evalml.objectives.MCCBinary writing output... [ 7%] generated/evalml.objectives.MCCMulticlass writing output... [ 7%] generated/evalml.objectives.MSE writing output... [ 7%] generated/evalml.objectives.MaxError writing output... [ 8%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 8%] generated/evalml.objectives.Precision writing output... [ 8%] generated/evalml.objectives.PrecisionMacro writing output... [ 8%] generated/evalml.objectives.PrecisionMicro writing output... [ 8%] generated/evalml.objectives.PrecisionWeighted writing output... [ 8%] generated/evalml.objectives.R2 writing output... [ 9%] generated/evalml.objectives.Recall writing output... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 9%] generated/evalml.objectives.RecallWeighted writing output... [ 9%] generated/evalml.objectives.RegressionObjective writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 9%] generated/evalml.objectives.get_all_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objectives writing output... [ 10%] generated/evalml.objectives.get_non_core_objectives writing output... [ 10%] generated/evalml.objectives.get_objective writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] generated/evalml.pipelines.RegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 11%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 12%] generated/evalml.pipelines.components.ComponentBase writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 13%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 13%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 14%] generated/evalml.pipelines.components.SelectColumns writing output... [ 14%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 15%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 17%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 23%] generated/methods/evalml.objectives.AUC.score writing output... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 31%] generated/methods/evalml.objectives.F1.score writing output... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MAE.score writing output... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MaxError.score writing output... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 42%] generated/methods/evalml.objectives.Precision.score writing output... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 44%] generated/methods/evalml.objectives.R2.score writing output... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 45%] generated/methods/evalml.objectives.Recall.score writing output... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 39%] evalml.objectives.utils highlighting module code... [ 40%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 41%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 42%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 43%] evalml.pipelines.classification_pipeline highlighting module code... [ 44%] evalml.pipelines.components.component_base highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_base highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 48%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 57%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 59%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 68%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 70%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 71%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 78%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 85%] evalml.pipelines.components.utils highlighting module code... [ 86%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 87%] evalml.pipelines.pipeline_base highlighting module code... [ 88%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search copying images... [ 16%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 33%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_33_0.svg copying images... [ 50%] images/evalml_horizontal.svg copying images... [ 66%] _build/doctrees-readthedocs/nbsphinx/start_22_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_16_0.svg copying static files... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2020-11-06T23:45:49.120165Z, end-time: 2020-11-06T23:45:51.205133Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-11-06T23:45:51.741738Z, end-time: 2020-11-06T23:45:51.949842Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at a5e6c50e make_pipeline_from_components accepts a random state (#1411) [rtd-command-info] start-time: 2020-11-06T23:45:52.052803Z, end-time: 2020-11-06T23:45:52.128843Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-06T23:45:53.713637Z, end-time: 2020-11-06T23:45:59.853837Z, duration: 6, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.9' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-06T23:45:59.960574Z, end-time: 2020-11-06T23:46:01.021877Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-06T23:46:01.128546Z, end-time: 2020-11-06T23:46:14.097766Z, duration: 12, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<2.2 Collecting setuptools==41.0.1 Downloading setuptools-41.0.1-py2.py3-none-any.whl (575 kB) Collecting docutils==0.14 Downloading docutils-0.14-py3-none-any.whl (543 kB) Collecting mock==1.0.1 Downloading mock-1.0.1.tar.gz (818 kB) Collecting pillow==5.4.1 Downloading Pillow-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (2.0 MB) Collecting alabaster!=0.7.5,<0.8,>=0.7 Downloading alabaster-0.7.12-py2.py3-none-any.whl (14 kB) Collecting commonmark==0.8.1 Downloading commonmark-0.8.1-py2.py3-none-any.whl (47 kB) Collecting recommonmark==0.5.0 Downloading recommonmark-0.5.0-py2.py3-none-any.whl (9.8 kB) Collecting sphinx<2 Downloading Sphinx-1.8.5-py2.py3-none-any.whl (3.1 MB) Collecting sphinx-rtd-theme<0.5 Downloading sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl (6.4 MB) Collecting readthedocs-sphinx-ext<2.2 Downloading readthedocs_sphinx_ext-2.1.1-py2.py3-none-any.whl (13 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.2-py3-none-any.whl (948 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting pytz>=2015.7 Downloading pytz-2020.4-py2.py3-none-any.whl (509 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Building wheels for collected packages: mock, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23754 sha256=d03dfffafd34e75ceabab5d5c9422e63d46103b2349231664fe1ac8a4b60e8f7 Stored in directory: /tmp/pip-ephem-wheel-cache-xvt808m1/wheels/16/03/37/f0a64ab894c9102906f192db1a4071b7592292ad661563c69b Building wheel for future (setup.py): started Building wheel for future (setup.py): finished with status 'done' Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491059 sha256=be333fe2caab7b7ad0891b2b4d98abf35251ce9294a639259a0703c2087d92ca Stored in directory: /tmp/pip-ephem-wheel-cache-xvt808m1/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, snowballstemmer, pytz, babel, idna, urllib3, chardet, certifi, requests, imagesize, six, Pygments, MarkupSafe, Jinja2, pyparsing, packaging, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.2 alabaster-0.7.12 babel-2.8.0 certifi-2020.6.20 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.4 readthedocs-sphinx-ext-2.1.1 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.25.11 [rtd-command-info] start-time: 2020-11-06T23:46:14.311418Z, end-time: 2020-11-06T23:47:47.134885Z, duration: 92, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.16.4 Downloading numpy-1.19.4-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) Collecting pandas>=0.25.0 Downloading pandas-1.1.4-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.4-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn>=0.23 Downloading scikit_learn-0.23.2-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.7.3.tar.gz (465 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting shap>=0.35.0 Downloading shap-0.37.0.tar.gz (326 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork>=0.0.3 Downloading woodwork-0.0.4-py3-none-any.whl (45 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.21.0-py3-none-any.whl (293 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting plotly>=4.2.1 Downloading plotly-4.12.0-py2.py3-none-any.whl (13.1 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.2-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting graphviz>=0.13 Downloading graphviz-0.14.2-py2.py3-none-any.whl (18 kB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.15.0) (2020.4) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting joblib>=0.11 Downloading joblib-0.17.0-py3-none-any.whl (301 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.51.0-py2.py3-none-any.whl (70 kB) Collecting slicer==0.0.3 Downloading slicer-0.0.3-py3-none-any.whl (11 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting distributed>=2.12.0 Downloading distributed-2.30.1-py3-none-any.whl (656 kB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2.30.0-py3-none-any.whl (848 kB) Collecting pyyaml>=3.12 Downloading PyYAML-5.3.1.tar.gz (269 kB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.15.0) (1.15.0) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting llvmlite<0.35,>=0.34.0.dev0 Downloading llvmlite-0.34.0-cp37-cp37m-manylinux2010_x86_64.whl (24.6 MB) Collecting setuptools Downloading setuptools-50.3.2-py3-none-any.whl (785 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 kB) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.4-py3-none-any.whl (91 kB) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting regex Downloading regex-2020.10.28-cp37-cp37m-manylinux2014_x86_64.whl (721 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.5-py3-none-any.whl (9.5 MB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.8-py3-none-any.whl (355 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.15.0) (2.7.2) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2020.6.20) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2.4.7) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting pillow>=6.2.0 Downloading Pillow-8.0.1-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (2.11.2) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting pyzmq>=17 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (1.1.1) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, pyyaml, nltk, retrying, locket, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.15.0-py3-none-any.whl size=5997037 sha256=ace830495f6917fe03e1efdb00bf9e433a04c758db55a14119ae892713729142 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/9e/21/10/381af54b3fd898f3030a593880d99f016a134a0a141dcf2f28 Building wheel for psutil (setup.py): started Building wheel for psutil (setup.py): finished with status 'done' Created wheel for psutil: filename=psutil-5.7.3-cp37-cp37m-linux_x86_64.whl size=285322 sha256=e14ad4a41f5875304ead7c43fccfeb8bb7c1afc96ac6a8300793829294f32ba1 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/f0/4b/57/d037639271e326da3e80e0ddc37bd3d5da7bbf48b3173be557 Building wheel for requirements-parser (setup.py): started Building wheel for requirements-parser (setup.py): finished with status 'done' Created wheel for requirements-parser: filename=requirements_parser-0.2.0-py3-none-any.whl size=7656 sha256=ffc37cf24c187501caecb73edbe29fa00fb4baf4f1770a6ea44a04cc3d7dcea8 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/40/e4/ca/8af24ee94c3863d620d6a52793d82930f4d1d3515a5121d495 Building wheel for shap (setup.py): started Building wheel for shap (setup.py): finished with status 'done' Created wheel for shap: filename=shap-0.37.0-cp37-cp37m-linux_x86_64.whl size=468555 sha256=c588db4047d211af1314f7c43a50af9fce29d56048a458a1a163e5dee6e16e1f Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/df/b8/18/2c0a6105152e62dd9a7cf47b5110b9cedb0c8739babdef64b7 Building wheel for pyyaml (setup.py): started Building wheel for pyyaml (setup.py): finished with status 'done' Created wheel for pyyaml: filename=PyYAML-5.3.1-cp37-cp37m-linux_x86_64.whl size=44619 sha256=8270b3d0ce4cdf389e01b41e8dee63a5f1ffdf3778b602d74e3e83c2dc854380 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434674 sha256=0d56f02820f2b6cc5b897412490d287ad52b982cb76e817a979435ee02b043d6 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 Building wheel for retrying (setup.py): started Building wheel for retrying (setup.py): finished with status 'done' Created wheel for retrying: filename=retrying-1.3.3-py3-none-any.whl size=11429 sha256=b7d8a23f1f9e59263b2b73b07308a743c31ba3bfb5e91421337dc9a1616a5abc Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf Building wheel for locket (setup.py): started Building wheel for locket (setup.py): finished with status 'done' Created wheel for locket: filename=locket-0.2.0-py3-none-any.whl size=4040 sha256=bd097b4e2b36aeda5375b421c00e09b2ed65f04433e4c6e514d706967089a8ba Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-linux_x86_64.whl size=115301 sha256=c8355bad2bae1da35ca54b272c1efc2b6e74819acac215cb7fcb35bc51b7ca42 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/a5/52/bf/71258a1d7b3c8cbe1ee53f9314c6f65f20385481eaee573cc5 Building wheel for pandocfilters (setup.py): started Building wheel for pandocfilters (setup.py): finished with status 'done' Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7991 sha256=088e77cefc3a575a21336fb4dac6b15f6b2ce31be3dc2dac5cfafef2dfc0fcb8 Stored in directory: /tmp/pip-ephem-wheel-cache-srbauyu8/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000 Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying locket pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, threadpoolctl, joblib, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, llvmlite, setuptools, numba, shap, texttable, woodwork, heapdict, zict, tblib, fsspec, toolz, locket, partd, dask, sortedcontainers, msgpack, tornado, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, Send2Trash, ptyprocess, terminado, prometheus-client, ipython-genutils, traitlets, pycparser, cffi, argon2-cffi, pyzmq, jupyter-core, jupyter-client, pexpect, wcwidth, prompt-toolkit, pickleshare, parso, jedi, backcall, decorator, ipython, ipykernel, zipp, importlib-metadata, attrs, pyrsistent, jsonschema, nbformat, pandocfilters, webencodings, bleach, async-generator, nest-asyncio, nbclient, testpath, mistune, defusedxml, jupyterlab-pygments, entrypoints, nbconvert, notebook, widgetsnbextension, ipywidgets, xgboost, cycler, kiwisolver, pillow, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.3.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.1 entrypoints-0.3 evalml-0.15.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.5 numba-0.51.2 numpy-1.19.4 pandas-1.1.4 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.4 setuptools-50.3.2 shap-0.37.0 slicer-0.0.3 sortedcontainers-2.2.2 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.1 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-06T23:47:47.302116Z, end-time: 2020-11-06T23:47:59.087009Z, duration: 11, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 1)) (1.19.4) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 2)) (1.1.4) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.4) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.4) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.3) Requirement already satisfied: requirements-parser>=0.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.37.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: woodwork>=0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 14)) (0.21.0) Requirement already satisfied: nlp-primitives>=1.1.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 15)) (1.1.0) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.12.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.14.2) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (7.19.0) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Requirement already satisfied: PyYAML==5.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 7)) (5.3.1) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.4) Requirement already satisfied: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.17.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.51.0) Requirement already satisfied: distributed>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.1) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.30.0) Requirement already satisfied: nltk>=3.4.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (3.5) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.8) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Collecting pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.3.0) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) Collecting more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.6.0-py3-none-any.whl (45 kB) Collecting py>=1.5.0 Downloading py-1.9.0-py2.py3-none-any.whl (99 kB) Collecting execnet>=1.1 Downloading execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting pytest-forked Downloading pytest_forked-1.3.0-py2.py3-none-any.whl (4.7 kB) Collecting coverage>=4.4 Downloading coverage-5.3-cp37-cp37m-manylinux1_x86_64.whl (229 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.0) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.4.2) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.2) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.8.0) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (3.0.8) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.24.0) Collecting mccabe<0.7.0,>=0.6.0 Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Collecting pycodestyle<2.6.0,>=2.5.0 Downloading pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.4.4) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (3.2.1) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.6.0) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.6.3) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (1.4.3) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from numba->shap>=0.35.0->-r core-requirements.txt (line 11)) (0.34.0) Requirement already satisfied: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.0.0) Requirement already satisfied: msgpack>=0.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.0) Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.2.2) Requirement already satisfied: tblib>=1.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.7.0) Requirement already satisfied: toolz>=0.8.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.11.1) Requirement already satisfied: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (6.1) Requirement already satisfied: fsspec>=0.6.0; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.8.4) Requirement already satisfied: partd>=0.3.10; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.1.0) Requirement already satisfied: regex in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.10.28) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from traitlets>=4.3.1->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.1.5) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.2.0) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2.4.7) Requirement already satisfied: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) Requirement already satisfied: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2020.6.20) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (0.10.0) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jedi>=0.10->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.1) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pexpect>4.3; sys_platform != "win32"->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.6.0) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.5) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.25.11) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2.10) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Jinja2>=2.3->Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.1) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.5.1) Requirement already satisfied: heapdict in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from zict>=0.1.3->distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.1) Requirement already satisfied: locket in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from partd>=0.3.10; extra == "dataframe"->dask[dataframe]>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (0.2.0) Requirement already satisfied: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.8.0) Requirement already satisfied: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.1) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (20.1.0) Requirement already satisfied: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.5.0) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.3) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.4.0) Requirement already satisfied: cffi>=1.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (2.20) Building wheels for collected packages: codecov, autopep8 Building wheel for codecov (setup.py): started Building wheel for codecov (setup.py): finished with status 'done' Created wheel for codecov: filename=codecov-2.1.0-py2.py3-none-any.whl size=15152 sha256=2607255811038213909d445f7d4ad1f8b35e132869224fc58c249cf76a7c3f49 Stored in directory: /tmp/pip-ephem-wheel-cache-zmpnre67/wheels/8a/24/33/292f49f78eaf4a3dd0db5b46cc75bf33b2af4a90ceff600cfe Building wheel for autopep8 (setup.py): started Building wheel for autopep8 (setup.py): finished with status 'done' Created wheel for autopep8: filename=autopep8-1.4.3-py2.py3-none-any.whl size=42228 sha256=d41e00a329a2dc94abc983cde9344a69010c7f78609c989f400a25c2a47f6026 Stored in directory: /tmp/pip-ephem-wheel-cache-zmpnre67/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: pluggy, atomicwrites, more-itertools, py, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, mccabe, pyflakes, pycodestyle, flake8, autopep8, isort, sphinxcontrib-applehelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-qthelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 codecov-2.1.0 coverage-5.3 execnet-1.7.1 flake8-3.7.0 isort-4.3.4 mccabe-0.6.1 more-itertools-8.6.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.9.0 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 [rtd-command-info] start-time: 2020-11-06T23:48:22.948551Z, end-time: 2020-11-06T23:48:23.070073Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': 'a5e6c50e', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-11-06T23:48:23.259483Z, end-time: 2020-11-07T00:16:17.959557Z, duration: 1674, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 19 source files that are out of date updating environment: 868 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 5%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 42%] generated/methods/evalml.objectives.Precision.score reading sources... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.R2.score reading sources... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 45%] generated/methods/evalml.objectives.Recall.score reading sources... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] demos/text_input writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 1%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_churn writing output... [ 2%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 5%] generated/evalml.objectives.AccuracyBinary writing output... [ 5%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 6%] generated/evalml.objectives.F1 writing output... [ 6%] generated/evalml.objectives.F1Macro writing output... [ 6%] generated/evalml.objectives.F1Micro writing output... [ 6%] generated/evalml.objectives.F1Weighted writing output... [ 7%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 7%] generated/evalml.objectives.MCCBinary writing output... [ 7%] generated/evalml.objectives.MCCMulticlass writing output... [ 7%] generated/evalml.objectives.MSE writing output... [ 7%] generated/evalml.objectives.MaxError writing output... [ 8%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 8%] generated/evalml.objectives.Precision writing output... [ 8%] generated/evalml.objectives.PrecisionMacro writing output... [ 8%] generated/evalml.objectives.PrecisionMicro writing output... [ 8%] generated/evalml.objectives.PrecisionWeighted writing output... [ 8%] generated/evalml.objectives.R2 writing output... [ 9%] generated/evalml.objectives.Recall writing output... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 9%] generated/evalml.objectives.RecallWeighted writing output... [ 9%] generated/evalml.objectives.RegressionObjective writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 9%] generated/evalml.objectives.get_all_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objectives writing output... [ 10%] generated/evalml.objectives.get_non_core_objectives writing output... [ 10%] generated/evalml.objectives.get_objective writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 10%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] generated/evalml.pipelines.RegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 11%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 12%] generated/evalml.pipelines.components.ComponentBase writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 13%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 13%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 14%] generated/evalml.pipelines.components.SelectColumns writing output... [ 14%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 15%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 17%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 23%] generated/methods/evalml.objectives.AUC.score writing output... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type writing output... [ 30%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 31%] generated/methods/evalml.objectives.F1.score writing output... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type writing output... [ 36%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MAE.score writing output... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type writing output... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MaxError.score writing output... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 42%] generated/methods/evalml.objectives.Precision.score writing output... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 44%] generated/methods/evalml.objectives.R2.score writing output... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 45%] generated/methods/evalml.objectives.Recall.score writing output... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 39%] evalml.objectives.utils highlighting module code... [ 40%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 41%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 42%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 43%] evalml.pipelines.classification_pipeline highlighting module code... [ 44%] evalml.pipelines.components.component_base highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_base highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 48%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 57%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 59%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 68%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 70%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 71%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 78%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 85%] evalml.pipelines.components.utils highlighting module code... [ 86%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 87%] evalml.pipelines.pipeline_base highlighting module code... [ 88%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search copying images... [ 16%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 33%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_33_0.svg copying images... [ 50%] images/evalml_horizontal.svg copying images... [ 66%] _build/doctrees-readthedocs/nbsphinx/start_22_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_16_0.svg copying static files... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2020-11-07T00:16:18.834217Z, end-time: 2020-11-07T00:41:58.852298Z, duration: 1540, exit-code: 0 python sphinx-build -b latex -D language=en -d _build/doctrees . _build/latex Running Sphinx v2.0.1 loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: 868 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 5%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 5%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 6%] generated/evalml.objectives.F1Macro reading sources... [ 6%] generated/evalml.objectives.F1Micro reading sources... [ 6%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 7%] generated/evalml.objectives.MCCBinary reading sources... [ 7%] generated/evalml.objectives.MCCMulticlass reading sources... [ 7%] generated/evalml.objectives.MSE reading sources... [ 7%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 8%] generated/evalml.objectives.PrecisionMicro reading sources... [ 8%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 8%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 9%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 9%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 10%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 11%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 11%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 12%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 13%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 13%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 14%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 14%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.generate_pipeline_code reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 17%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 19%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 19%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 22%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 23%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 23%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.is_defined_for_problem_type reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.is_defined_for_problem_type reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 38%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.is_defined_for_problem_type reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 39%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 40%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 41%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 42%] generated/methods/evalml.objectives.Precision.score reading sources... [ 42%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.R2.score reading sources... [ 44%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 45%] generated/methods/evalml.objectives.Recall.score reading sources... [ 45%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 47%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 47%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 48%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 72%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.prediction_explanations.explain_prediction generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.MulticlassClassificationObjective.is_defined_for_problem_type generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.calculate_percent_difference generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.is_defined_for_problem_type generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.is_defined_for_problem_type generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.CostBenefitMatrix generated/methods/evalml.objectives.CostBenefitMatrix.__init__ generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference generated/methods/evalml.objectives.CostBenefitMatrix.decision_function generated/methods/evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type generated/methods/evalml.objectives.CostBenefitMatrix.objective_function generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold generated/methods/evalml.objectives.CostBenefitMatrix.score generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.AccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.calculate_percent_difference generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.is_defined_for_problem_type generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference generated/methods/evalml.objectives.AUCMicro.is_defined_for_problem_type generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference generated/methods/evalml.objectives.AUCWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.is_defined_for_problem_type generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.is_defined_for_problem_type generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.is_defined_for_problem_type generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.is_defined_for_problem_type generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.is_defined_for_problem_type generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference generated/methods/evalml.objectives.PrecisionWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.PrecisionWeighted.objective_function generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.calculate_percent_difference generated/methods/evalml.objectives.Recall.decision_function generated/methods/evalml.objectives.Recall.is_defined_for_problem_type generated/methods/evalml.objectives.Recall.objective_function generated/methods/evalml.objectives.Recall.optimize_threshold generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.validate_inputs generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMicro.objective_function generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.validate_inputs generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference generated/methods/evalml.objectives.RecallMacro.is_defined_for_problem_type generated/methods/evalml.objectives.RecallMacro.objective_function generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.validate_inputs generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference generated/methods/evalml.objectives.RecallWeighted.is_defined_for_problem_type generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.is_defined_for_problem_type generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.is_defined_for_problem_type generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.is_defined_for_problem_type generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.MeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.MeanSquaredLogError.objective_function generated/methods/evalml.objectives.MeanSquaredLogError.score generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.calculate_percent_difference generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type generated/methods/evalml.objectives.MedianAE.objective_function generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.validate_inputs generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.calculate_percent_difference generated/methods/evalml.objectives.MaxError.is_defined_for_problem_type generated/methods/evalml.objectives.MaxError.objective_function generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.validate_inputs generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference generated/methods/evalml.objectives.ExpVariance.is_defined_for_problem_type generated/methods/evalml.objectives.ExpVariance.objective_function generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.validate_inputs generated/evalml.objectives.RootMeanSquaredError generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredError.objective_function generated/methods/evalml.objectives.RootMeanSquaredError.score generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs generated/evalml.objectives.RootMeanSquaredLogError generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.objectives.get_all_objective_names generated/evalml.objectives.get_core_objectives generated/evalml.objectives.get_core_objective_names generated/evalml.objectives.get_non_core_objectives generated/evalml.objectives.get_objective generated/evalml.problem_types.handle_problem_types generated/evalml.problem_types.detect_problem_type generated/evalml.problem_types.ProblemTypes generated/evalml.model_family.handle_model_family generated/evalml.model_family.ModelFamily generated/evalml.tuners.Tuner generated/methods/evalml.tuners.Tuner.__init__ generated/methods/evalml.tuners.Tuner.add generated/methods/evalml.tuners.Tuner.is_search_space_exhausted generated/methods/evalml.tuners.Tuner.propose generated/evalml.tuners.SKOptTuner generated/methods/evalml.tuners.SKOptTuner.__init__ generated/methods/evalml.tuners.SKOptTuner.add generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted generated/methods/evalml.tuners.SKOptTuner.propose generated/evalml.tuners.GridSearchTuner generated/methods/evalml.tuners.GridSearchTuner.__init__ generated/methods/evalml.tuners.GridSearchTuner.add generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.GridSearchTuner.propose generated/evalml.tuners.RandomSearchTuner generated/methods/evalml.tuners.RandomSearchTuner.__init__ generated/methods/evalml.tuners.RandomSearchTuner.add generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.RandomSearchTuner.propose generated/evalml.data_checks.DataCheck generated/methods/evalml.data_checks.DataCheck.validate generated/evalml.data_checks.InvalidTargetDataCheck generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate generated/evalml.data_checks.HighlyNullDataCheck generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ generated/methods/evalml.data_checks.HighlyNullDataCheck.validate generated/evalml.data_checks.IDColumnsDataCheck generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.TargetLeakageDataCheck generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.ClassImbalanceDataCheck generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ generated/methods/evalml.data_checks.DefaultDataChecks.validate generated/evalml.data_checks.DataCheckMessage generated/methods/evalml.data_checks.DataCheckMessage.__init__ generated/methods/evalml.data_checks.DataCheckMessage.__str__ generated/methods/evalml.data_checks.DataCheckMessage.__eq__ generated/evalml.data_checks.DataCheckError generated/methods/evalml.data_checks.DataCheckError.__init__ generated/methods/evalml.data_checks.DataCheckError.__str__ generated/methods/evalml.data_checks.DataCheckError.__eq__ generated/evalml.data_checks.DataCheckWarning generated/methods/evalml.data_checks.DataCheckWarning.__init__ generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed release_notes resolving references... done writing... done copying images... [ 16%] images/evalml_horizontal.svg copying images... [ 33%] _build/doctrees/nbsphinx/start_22_0.svg copying images... [ 50%] demos/../_build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 66%] demos/../_build/doctrees/nbsphinx/demos_text_input_33_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_16_0.svg copying TeX support files... copying TeX support files... done build succeeded. The LaTeX files are in _build/latex. Run 'make' in that directory to run these through (pdf)latex (use `make latexpdf' here to do that automatically). WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2020-11-07T00:41:59.389548Z, end-time: 2020-11-07T00:41:59.491326Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2020-11-07T00:41:59.608020Z, end-time: 2020-11-07T00:42:16.938362Z, duration: 17, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 4, chunk 1. Latexmk: This is Latexmk, John Collins, 1 January 2015, version: 4.41. File::Glob::glob() will disappear in perl 5.30. Use File::Glob::bsd_glob() instead. at /usr/bin/latexmk line 7482. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 311. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 311. [5] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 6 undefined on input line 355. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 6 undefine d on input line 453. [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 23 undefined on input line 2019. [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 39 undefined on input line 3424. [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 40 undefined on input line 3507. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 53 undefined on input line 4412. [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 55 undefined on input line 4532. [55] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 56 undefined on input line 4642. [56] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 57 undefined on input line 4733. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 57 undefined on input line 4733. [57] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 58 undefined on input line 4818. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 58 undefined on input line 4818. [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 60 undefined on input line 4897. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 60 undefined on input line 4900. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 60 undefined on input line 4968. [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `user_guide/components::doc' on page 64 undefine d on input line 5231. [64] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 65 undefine d on input line 5269. [65] [66] LaTeX Warning: Hyper reference `api_reference:components' on page 67 undefined on input line 5443. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 68 undefined on input line 5578. [68] [69] Underfull \vbox (badness 10000) detected at line 5841 [70] [71] [72] [73] [74] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 75 undefine d on input line 6291. [75] [76] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 77 undefined on input line 6395. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 77 undefined on inpu t line 6446. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 77 undefined on input line 6448. [77] Underfull \vbox (badness 10000) detected at line 6555 Overfull \vbox (8.28168pt too high) detected at line 6555 [78] [79] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 80 undefined on input line 6580 . Overfull \vbox (1.12581pt too high) detected at line 6636 [80] [81] Underfull \vbox (badness 10000) detected at line 6783 Overfull \vbox (2.68169pt too high) detected at line 6783 [82] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 83 undefine d on input line 6798. [83] Underfull \hbox (badness 10000) in paragraph at lines 6845--6846 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] Underfull \vbox (badness 1337) detected at line 7034 [85] [86] [87] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 88 undefine d on input line 7145. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 88 undefined on input line 7145. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 88 undefin ed on input line 7146. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 88 undefine d on input line 7151. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 88 undefined on input line 7151. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 88 undefined on input line 7156. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 88 undefined on input line 7161. [88] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 89 undefine d on input line 7176. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 89 undefin ed on input line 7181. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 89 undefined on input line 7186. [89] [90] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 91 undefined on input line 7217. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 91 undefined on input line 7222. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 91 undefined on input line 7227. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 91 undefined on input line 7232. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 91 undefined on input line 7237. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 7242. [91] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 92 undefined on input line 7386. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 92 undefined on input l ine 7391. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 92 undefined on input lin e 7396. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 92 undefined on input line 7401. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 92 undefined on input line 7406. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 7411. [92] [93] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 94 undefined on input line 7586. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 7591. Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a l- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 94 undefined on input line 7620. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 94 undefined on input line 7625. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 94 undefi ned on input line 7630. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 94 undefined on inp ut line 7635. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 94 undefined on input line 7640. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 94 undefined on input line 7645. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 94 undefined on input line 7650 . Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 7655. Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowe d_model_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 94 undefined on input line 7667. [94] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 95 undefined on input line 7670. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 95 undefined on input line 7710. Underfull \hbox (badness 7869) in paragraph at lines 7710--7714 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [95] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 96 undefined on input line 7772. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 96 undefined on input line 7836. [96] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 97 undefined on input line 7907. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 7971. [97] LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 98 un defined on input line 8002. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 8007. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 98 undefined on input line 8024. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 98 undefined on input line 8052. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 98 unde fined on input line 8057. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 8062. Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.__init__:evalml.automl.automl_algorithm.AutoMLAlgorithm.__ini t__' on page 99 undefined on input line 8091. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 99 undefined on input line 8096. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 99 undefined on input line 8101. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 8106. Underfull \hbox (badness 10000) in paragraph at lines 8113--8113 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 99 undefined on input line 8151. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 99 undefined on input line 8172. [99] Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 8208. Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.__init__:evalml.automl.automl_algorithm.IterativeAlgorithm .__init__' on page 100 undefined on input line 8245. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 100 undefined on input line 8250. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 100 undefined on input line 8255. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 8260. Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [100 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 101 undefined on input line 8315. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 101 undefined on input line 8336. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 8372. [101] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 102 undefined on input line 8406. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 102 undefined on input line 8411. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 102 undefined o n input line 8416. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 102 und efined on input line 8421. Underfull \hbox (badness 5908) in paragraph at lines 8423--8425 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion LaTeX Warning: Hyper reference `generated/evalml.pipelines.RegressionPipeline:e valml.pipelines.RegressionPipeline' on page 102 undefined on input line 8426. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 8431. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 8488. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 102 undefined on inpu t line 8509. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 102 undefined on input line 8514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 102 undefined on input line 8519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 102 undefined on inpu t line 8524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 102 undefined on input line 852 9. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 102 undefin ed on input line 8534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 102 undefined on input line 8539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 102 undefined on input line 8544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 102 undefined on input line 8 549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 102 undefined on input line 8554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 102 undefined on input line 8 559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 102 undefined on input line 8564. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 8569. [102 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [103] [104] [105] Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 8918. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 1 06 undefined on input line 8939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 106 und efined on input line 8944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 106 undefined on input line 8949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 1 06 undefined on input line 8954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 106 undefin ed on input line 8959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 106 undefined on input line 8964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 106 und efined on input line 8969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 106 undefined on input line 8974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 106 undef ined on input line 8979. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 106 undefined on input line 8984. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 106 undefined on input line 8989. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 106 undef ined on input line 8994. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 106 und efined on input line 8999. Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 9004. [106 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9100--9102 []\T1/ptm/m/n/10 by sorted(set(y)) [107] [108] [109] Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 9383. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 110 undefined on input line 9404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 110 undefined on input line 9409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 110 undefined on input line 9414 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 110 undefined on input line 9419. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 110 undefined on input line 9424. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 110 undefined on input line 9429. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 110 undefined on input line 9434. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 110 undefined on input line 9439. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 110 undefined on input line 9444. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 110 undefined on input line 9449. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 110 undefined on input line 9454. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 110 undefined on input line 9459. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 110 undefined on input line 9464. Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 9469. [110 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 9565--9567 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9636--9636 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 9788--9788 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 9843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 114 undefined on input line 9864. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 114 undefined on input line 9869. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 114 undefined on input l ine 9874. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 114 undefined on input line 9879. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 114 undefined on input line 9884. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 114 undefined on input line 9889. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 114 undefined on input line 9894. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 114 undefined on input line 9899. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 114 undefined on input line 9904. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 114 undefined on input line 9909. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 114 undefined on input line 9914. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 114 undefined on input line 9919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 114 undefined on input line 9924. Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 9929. [114 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10025--10027 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10096--10096 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [116] [117] Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 10298. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 118 undef ined on input line 10319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 118 undefined o n input line 10324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 118 undefined on input line 10329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 118 undef ined on input line 10334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 118 undefined on in put line 10339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 118 undefined on input line 10344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 118 undefined o n input line 10349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 118 undefined on input line 10354. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 118 undefined on input line 10359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 118 undefin ed on input line 10364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 118 undefined on input line 10369. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 118 undefined o n input line 10374. Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 10379. [118 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [119] [120] [121] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 122 undefined on input line 10689. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 122 undefined on in put line 10694. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 122 undefined on in put line 10699. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 122 undefin ed on input line 10704. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 10709. Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 10812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 22 undefined on input line 10833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 122 und efined on input line 10838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 122 undefined on input line 10843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 22 undefined on input line 10848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 122 undefin ed on input line 10853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 122 undefined on input line 10858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 122 und efined on input line 10863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 122 undefined on input line 10868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 122 undef ined on input line 10873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 122 undefined on input line 10878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 122 undefined on input line 10883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 122 undef ined on input line 10888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 122 und efined on input line 10893. [122 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 10898. [123] Underfull \hbox (badness 10000) in paragraph at lines 10994--10996 []\T1/ptm/m/n/10 by sorted(set(y)) [124] [125] [126 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 11308. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 127 undefined on input line 11329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 127 undefined on input line 11334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 127 undefined on input line 11339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 127 undefined on input line 11344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 127 undefined on input line 11349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 127 undefined on input line 11354. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 127 undefined on input line 11359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 127 undefined on input line 11364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 27 undefined on input line 11369. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 127 undefined on input line 11374. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 127 undefined on input line 11379. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 27 undefined on input line 11384. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 127 undefined on input line 11389. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 11394. [127] Underfull \hbox (badness 10000) in paragraph at lines 11490--11492 []\T1/ptm/m/n/10 by sorted(set(y)) [128] [129] [130 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 11809. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 131 undefined on input line 11830. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 131 undefined on input line 11835. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 131 undefined on input line 11840. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 131 undefined on input line 11845. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 131 undefined on input line 11850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 131 undefined on input line 11855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 131 undefined on input line 11860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 131 undefined on input line 11865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 31 undefined on input line 11870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 131 undefined on input line 11875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 131 undefined on input line 11880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 31 undefined on input line 11885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 131 undefined on input line 11890. Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 11895. [131] Underfull \hbox (badness 10000) in paragraph at lines 11991--11993 []\T1/ptm/m/n/10 by sorted(set(y)) [132] [133] [134] Underfull \hbox (badness 10000) in paragraph at lines 12214--12214 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 12305. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 135 undefined on input line 12326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 135 undefined on input line 12331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 135 undefined on input line 12336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 135 undefined on input line 12341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 135 undefined on input line 12346. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 135 undefined on input line 12351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 135 undefined on input line 12356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 135 undefined on input line 1236 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 135 undefined on input line 12366. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 135 undefined on input line 12371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 135 undefined on input line 12376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 135 undefined on input line 12381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 135 undefined on input line 12386. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 12391. [135 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 12487--12489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12558--12558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [137] [138] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 139 undefined on in put line 12726. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 139 undefin ed on input line 12731. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 12736. [139 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 12829. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 140 undefined on input line 12850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 140 undefined on input line 12855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 140 undefined on input line 12860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 140 undefined on input line 12865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 140 undefined on input line 12870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 140 undefined on input line 12875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 140 undefined on input line 12880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 140 undefined on input line 12885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 40 undefined on input line 12890. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 140 undefined on input line 12895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 40 undefined on input line 12900. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 140 undefined on input line 12905. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 12910. [140] [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13204--13204 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 13290. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 144 undefined on input line 13311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 144 undefined on input line 13316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 144 undefined on input line 13321. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 144 undefined on input line 13326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 144 undefined on input line 13331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 144 undefined on input line 13336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 144 undefined on input line 13341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 144 undefined on input line 1334 6. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 144 undefined on input line 13351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 144 undefined on input line 13356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 144 undefined on input line 13361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 144 undefined on input line 13366. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 13371. [144] [145] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13535--13535 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 147 undefined on input line 13681 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 47 undefined on input line 13686. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 147 undefined o n input line 13691. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 13696. Underfull \hbox (badness 10000) in paragraph at lines 13703--13703 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 147 undefined on input line 137 18. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 147 undefined on input line 13721. [147 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13743--13747 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 148 undefined on input line 13755. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 148 undefined on input line 13816. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 148 undefined on input line 13821. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 148 undefined on input line 138 26. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 13831. Underfull \hbox (badness 10000) in paragraph at lines 13838--13838 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 13838--13838 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.__init__:evalml.pipelines.components.ComponentBase.__init__' on pa ge 149 undefined on input line 13860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 149 undefined on input line 13865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 149 undefined on input line 13870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 149 und efined on input line 13875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 149 u ndefined on input line 13880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 149 u ndefined on input line 13885. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 13890. Underfull \hbox (badness 10000) in paragraph at lines 13897--13897 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [149] Underfull \hbox (badness 10000) in paragraph at lines 14032--14032 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 14032--14032 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 1 50 undefined on input line 14063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 150 und efined on input line 14068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 50 undefined on input line 14073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 150 undefin ed on input line 14078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 150 undefined on input line 14083. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 150 undef ined on input line 14088. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 150 undef ined on input line 14093. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 150 undefined on input line 14098. [150 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 14103. [151] [152] Underfull \hbox (badness 10000) in paragraph at lines 14301--14301 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.__init__:evalml.pipelines.components.Estimator.__init__' on page 153 u ndefined on input line 14331. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 153 undefin ed on input line 14336. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 153 u ndefined on input line 14341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 153 undefined o n input line 14346. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 153 undefined on input line 14351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 153 und efined on input line 14356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 153 undefined on input line 14361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 153 undefined on input line 14366. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 14371. [153 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [154] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 155 undefined on input line 14573. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 155 undef ined on input line 14578. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 155 undefined on input line 14583. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 14588. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 155 undefined on input line 14599. [155 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 156 undefined on input line 14605. Underfull \hbox (badness 10000) in paragraph at lines 14617--14617 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 156 undefined on input line 14624. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 156 undefined on input line 14627. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 156 undefined on input line 14685. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 156 undefined on input line 14690. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 156 undefined on input line 14695. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 156 undefined on input line 14700. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 156 undefined on input line 14705. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 156 undefined on input line 14710. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 156 undefined on inpu t line 14715. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 156 undefined on input line 14720. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 156 undefined on input line 14725. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 156 undefined on in put line 14730. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 156 undefined on input line 14735. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 156 undefined on inpu t line 14740. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 14745. [156] Underfull \hbox (badness 10000) in paragraph at lines 14752--14752 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 14808. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 57 undefined on input line 14829. Underfull \hbox (badness 7576) in paragraph at lines 14831--14833 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.clone:evalml.pipelines.components.DropColumns.clone' on page 157 und efined on input line 14834. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 57 undefined on input line 14839. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 157 undefin ed on input line 14844. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 157 undefined on input line 14849. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 157 undef ined on input line 14854. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 157 undef ined on input line 14859. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 157 undefined on input line 14864. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 14869. [157] [158] Underfull \hbox (badness 10000) in paragraph at lines 15072--15072 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , [159 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 15128. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 160 undefined on input line 15149. Underfull \hbox (badness 7576) in paragraph at lines 15151--15153 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.clone:evalml.pipelines.components.SelectColumns.clone' on page 160 undefined on input line 15154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 160 undefined on input line 15159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 160 und efined on input line 15164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 160 undefined on input line 15169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 160 u ndefined on input line 15174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 160 u ndefined on input line 15179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 160 undefined on input line 15184. Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 15189. [160] [161] Underfull \hbox (badness 10000) in paragraph at lines 15392--15392 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15392--15392 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [162 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 15448. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 163 undefined on input line 15469. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 163 undefined on input line 15474. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 163 undefined on input line 15479. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 163 undefined on input line 15484. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 163 und efined on input line 15489. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 163 undefined on input line 15494. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 163 undefined on input line 15499. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 163 u ndefined on input line 15504. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 163 u ndefined on input line 15509. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 163 undefined on input line 15514. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 15519. [163] [164] [165] Underfull \hbox (badness 10000) in paragraph at lines 15787--15787 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (21.23323pt too wide) in paragraph at lines 15787--15787 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 15843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 166 undefined on input line 15864. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 166 undefined on input line 15869. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 166 undefined on input line 15874. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 66 undefined on input line 15879. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 166 undefined on input line 15884. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 166 undefined on input line 15889. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 166 undefined on input line 15894. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 166 undefined on input line 15899. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 15904. Overfull \hbox (5.61217pt too wide) in paragraph at lines 15911--15911 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [166 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15916--15920 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [167] [168] Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 meric_impute_strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu - Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 16178. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 169 undef ined on input line 16199. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 169 undefined o n input line 16204. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 169 undef ined on input line 16209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 169 undefined on in put line 16214. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 169 undefined on input line 16219. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 169 undefined on input line 16224. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 169 undefined on input line 16229. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 169 und efined on input line 16234. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 16239. [169 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16246--16246 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , \ T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , [170] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16422--16424 [] [171] Underfull \hbox (badness 10000) in paragraph at lines 16460--16460 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16460--16460 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 16516. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 172 undefined on input line 16537. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 172 undefined on input line 16542. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 172 undefined on input line 16547. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 172 und efined on input line 16552. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 172 undefined on input line 16557. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 172 u ndefined on input line 16562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 172 u ndefined on input line 16567. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 172 undefined on input line 16572. [172 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 16577. [173] [174] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16756--16758 [] Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 16850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 175 undefined on input line 16871. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 75 undefined on input line 16876. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 175 undefined on input line 16881. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 175 u ndefined on input line 16886. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 175 undefined on input line 16891. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 175 undefined on input line 16896. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 175 undefined on input line 16901. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 175 undefined on input line 16906. [175 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 16911. [176] [177] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17109--17109 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 17165. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 178 undefined on input line 17186. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 178 undefined on input line 17191. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 178 undefined on input line 17196. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 178 undefined on input line 17201. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 178 undefined on input line 17206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 178 undefined on input line 17211. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 178 undefined on input line 17216. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 178 undefined on input line 17221. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 178 undefined on input line 17226. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 17231. [178 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [179] [180] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17445--17445 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 17501. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 181 undefined on input line 17522. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 181 undefined on input line 17527. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 181 undefined on input line 17532. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 181 undefined on input line 17537. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 181 undefined on input line 17542. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 181 undefined on input line 17547. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 181 undefined on input line 17552. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 181 undefined on input line 17557. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 181 undefined on input line 17562. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 17567. [181 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17781--17781 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 17837. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 184 undefined on input line 17858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 184 undefined on input line 17863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 184 undefined on input line 17868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 184 undefined on input line 17873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 184 undefined on input line 17878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 1 84 undefined on input line 17883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 1 84 undefined on input line 17888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 184 undefined on input line 17893. Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 17898. [184 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [185] [186] Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 18159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 187 undefined on input line 18180. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 187 undefined on input line 18185. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 187 undefined on input line 18190. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 187 undefined on input line 18195. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 187 undefined on input line 18200. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 187 undefined on input line 18205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 187 undefined on input line 18210. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 187 undefined on input line 18215. Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 18220. [187 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 18429--18429 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 18485. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 190 undefined on input line 18506. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 1 90 undefined on input line 18511. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 190 undefined on input line 18516. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 190 u ndefined on input line 18521. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 190 undefined on input line 18526. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 190 undefined on input line 18531. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 190 undefined on input line 18536. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 190 undefined on input line 18541. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 18546. [190 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [191] [192] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 193 undefined on input line 18776. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 193 undef ined on input line 18781. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 193 undef ined on input line 18786. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 193 u ndefined on input line 18791. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 193 undefined on input line 18796. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 193 undefined on input line 18801. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 193 undefined o n input line 18806. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 193 undefined on input line 18811. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 193 undefined on input line 18816. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 193 u ndefined on input line 18821. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 18826. Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [193 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 18913. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 194 undefined on input line 18934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 194 undefined on input line 18939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 194 undefined on input line 18944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 194 undefined on input line 18949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 194 undefined on input line 18954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 194 undefined on input line 18959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 194 undefined on input line 18964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 194 undefined on input line 18969. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 18974. Underfull \hbox (badness 10000) in paragraph at lines 18981--18981 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18981--18981 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [194] [195] Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 19227. [196 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 197 undefined on input line 19248. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 197 undefined on input line 19253. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 197 undefined on input line 19258. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 197 undefined on input line 19263. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 197 undefined on input line 19268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 197 undefined on input line 19273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 197 undefined on input line 19278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 197 undefined on input line 19283. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 19288. [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 19541. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 199 undefined on input line 19562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 199 undefined on input line 19567. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 199 undefined on input line 19572. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 199 undefined on input line 19577. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 199 undefined on input line 19582. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 199 undefined on input line 19587. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 199 undefined on input line 19592. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 199 undefined on input line 19597. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 19602. [199 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19609--19609 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19609--19609 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 19788--19788 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19788--19788 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 19855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 202 undefined on input line 19876. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 202 undefined on input line 19881. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 202 undefined on input line 19886. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 202 undefined on input line 19891. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 202 undefined on input line 19896. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 202 undefined on input line 19901. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 202 undefined on input line 19906. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 202 undefined on input line 19911. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 19916. [202 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19923--19923 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [203] Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [204 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 20179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 205 undefined on input line 20200. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 205 undefined on input line 20205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 205 undefined on input line 20210. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 205 undefined on input line 20215. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 205 undefined on input line 20220. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 205 undefined on input line 20225. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 205 undefined on input line 20230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 205 undefined on input line 20235. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 20240. Underfull \hbox (badness 10000) in paragraph at lines 20247--20247 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20247--20247 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [205] [206] Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [207 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 20493. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 208 undefined on input line 20514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 208 undefined on input line 20519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 208 undefined on input line 20524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 208 undefined on input line 20529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 208 undefined on input line 20534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 208 undefined on input line 20539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 208 undefined on input line 20544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 208 undefined on input line 20549. Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 20554. Underfull \hbox (badness 10000) in paragraph at lines 20561--20561 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20561--20561 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 20817. [210 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 211 undefined on input line 20838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 211 undefined on input line 20843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 211 undefined on input line 20848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 211 undefined on input line 20853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 211 undefined on input line 20858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 211 undefined on input line 20863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 211 undefined on input line 20868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 211 undefined on input line 20873. Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 20878. [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 21064--21064 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 21138. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 213 undefined on input line 21159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 213 undefined on input line 21164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 213 undefined on input line 21169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 213 undefined on input line 21174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 213 undefined on input line 21179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 213 undefined on input line 21184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 213 undefined on input line 21189. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 213 undefined on input line 21194. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 21199. [213 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [214] [215] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21396--21396 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 21463. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 216 undefined on input line 21484. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 216 undefined on input line 21489. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 216 undefined on input line 21494. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 216 undefined on input line 21499. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 216 undefined on input line 21504. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 216 undefined on input line 21509. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 216 undefined on input line 21514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 216 undefined on input line 21519. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 21524. [216 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21531--21531 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 217 undefined on input line 21536. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 217 undefined on input line 215 40. [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [219 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 21807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 220 undefined on input line 21828. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 220 undefined on input line 21833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 220 undefined on input line 21838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 220 undefined on input line 21843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 220 undefined on input line 21848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 220 undefined on input line 21853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 220 undefined on input line 21858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 220 undefined on input line 21863. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 21868. Underfull \hbox (badness 5147) in paragraph at lines 21875--21875 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21875--21875 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [220] [221] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 222 undefined o n input line 22072. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 222 undefin ed on input line 22077. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 222 undefined on in put line 22082. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 222 undefin ed on input line 22087. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 222 und efined on input line 22092. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 222 undefined on input line 22097. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 222 undefined o n input line 22102. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 22 undefined on input line 22107. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 222 und efined on input line 22112. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 22117. Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [222 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 22204. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 223 undefined on input line 22225. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 223 undefined on input line 22230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 223 undefined on input line 22235. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 223 undefined on input line 22240. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 223 undefined on input line 22245. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 223 undefined on input line 22250. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 223 undefined on input line 22255. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 223 undefined on input line 22260. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 22265. Underfull \hbox (badness 10000) in paragraph at lines 22272--22272 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22272--22272 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [223] [224] Underfull \hbox (badness 10000) in paragraph at lines 22451--22451 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22451--22451 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 22451--22451 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 22518. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 225 undefined on input line 22539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 225 undefined on input line 22544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 225 undefined on input line 22549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 225 undefined on input line 22554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 225 undefined on input line 22559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 225 undefined on input line 22564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 225 undefined on input line 22569. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 225 undefined on input line 22574. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 22579. [225 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [226] [227] Underfull \hbox (badness 10000) in paragraph at lines 22765--22765 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 22765--22765 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 22832. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 228 undefined on input line 22853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 228 undefined on input line 22858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 228 undefined on input line 22863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 228 undefined on input line 22868. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 28 undefined on input line 22873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 228 undefined on input line 22878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 228 undefined on input line 22883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 28 undefined on input line 22888. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 22893. [228 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [229] Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [230 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 23146. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 231 undefined on input line 23167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 231 undefined on input line 23172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 231 undefined on input line 23177. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 231 undefined on input line 23182. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 231 undefined on input line 23187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 231 undefined on input line 23192. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 231 undefined on input line 23197. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 231 undefined on input line 23202. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 23207. Underfull \hbox (badness 10000) in paragraph at lines 23214--23214 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23214--23214 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [233 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 23460. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 234 undefined on input line 23481. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 234 undefined on input line 23486. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 234 undefined on input line 23491. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 234 undefined on input line 23496. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 234 undefined on input line 23501. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 234 undefined on input line 23506. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 234 undefined on input line 23511. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 234 undefined on input line 23516. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 23521. Underfull \hbox (badness 10000) in paragraph at lines 23528--23528 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234] [235] Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 23784. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 236 undefined on input line 23805. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 236 undefined on input line 23810. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 236 undefined on input line 23815. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 2 36 undefined on input line 23820. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 236 undefined on input line 23825. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 236 undefined on input line 23830. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 236 undefined on input line 23835. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 236 undefined on input line 23840. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 23845. [236 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 24031--24031 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 24100. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 239 undefined on input line 24121. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 239 undefined on input line 24126. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 239 undefined on input line 24131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 239 undefined on input line 24136. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 239 undefined on input line 24141. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 239 undefined on input line 24146. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 239 undefined on input line 24151. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 239 undefined on input line 24156. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 24161. [239 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [240] [241] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24358--24358 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 24425. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 242 undefined on input line 24446. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 242 undefined on input line 24451. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 242 undefined on input line 24456. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 242 undefined on input line 24461. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 242 undefined on input line 24466. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 242 undefined on input line 24471. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 242 undefined on input line 24476. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 242 undefined on input line 24481. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 24486. [242 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24493--24493 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 243 undefined on input line 24498. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 243 undefined on input line 245 02. [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 24769. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 245 undefined on input line 24790. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 245 undefined on input line 24795. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 245 undefined on input line 24800. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 245 undefined on input line 24805. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 245 undefined on input line 24810. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 245 undefined on input line 24815. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 245 undefined on input line 24820. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 245 undefined on input line 24825. [245 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 24830. Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [246] [247] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 248 undefined on in put line 25035. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 248 undefined on input line 25040. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 248 und efined on input line 25045. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 248 undefined on input line 25050. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 248 undefined on input line 25055 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 248 undefined on inpu t line 25060. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 248 und efined on input line 25065. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 248 undefined on input line 25070. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 248 undefined on input line 25075. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 248 undefined on input line 25080. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 248 undefined on input line 25085. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 248 undefined on input line 25090. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 25095. Underfull \hbox (badness 10000) in paragraph at lines 25102--25102 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- [248 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25133--25133 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [249] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25247--25247 [] Underfull \hbox (badness 10000) in paragraph at lines 25247--25247 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25248--25248 [] Underfull \hbox (badness 10000) in paragraph at lines 25248--25248 Underfull \hbox (badness 10000) in paragraph at lines 25281--25281 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 25281--25281 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [250] Underfull \hbox (badness 10000) in paragraph at lines 25312--25312 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 25312--25312 \T1/ptm/m/it/10 ize_method='true'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 25345--25345 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25345--25345 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 251 undefined on input line 25350. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 251 undefined on input line 25359. [251] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 252 undefined on input line 25391. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 252 undefined on input line 25400. Underfull \hbox (badness 10000) in paragraph at lines 25460--25460 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25460--25460 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 252 undefined on input line 25465. [252] Underfull \hbox (badness 10000) in paragraph at lines 25494--25494 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 253 undefined on input line 25540. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 253 undefined on input line 25545. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst:evalml.model_understanding.predict ion_explanations.explain_predictions_best_worst' on page 253 undefined on input line 25550. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 25555. Overfull \hbox (9.96457pt too wide) in paragraph at lines 25562--25562 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [253] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 254 undefined on input line 25569. Overfull \hbox (15.96457pt too wide) in paragraph at lines 25603--25603 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 254 undefined on input line 25610. Overfull \hbox (94.49048pt too wide) in paragraph at lines 25633--25635 [] [254] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25649--25649 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 255 undefined on input line 25656. Overfull \hbox (102.73972pt too wide) in paragraph at lines 25687--25690 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 255 undefined on input line 25723. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 255 undefin ed on input line 25728. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 255 undefined on input line 25733. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 255 undefined on input line 257 38. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 25743. [255] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 256 undefined on input line 25772. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.is_defined_for_problem_type:evalml.objectives.ObjectiveBase.is_defined_for_p roblem_type' on page 256 undefined on input line 25777. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 256 undefined on input line 25782. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 256 undefined on input line 25787. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 256 undefined on input line 25792. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 25797. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25819--25821 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25848--25848 [] Underfull \hbox (badness 10000) in paragraph at lines 25848--25848 [256] [257 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 258 undefined on input l ine 25957. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 258 undefined on input line 25962. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.is_defined_for_problem_type:evalml.objectives.BinaryClassifi cationObjective.is_defined_for_problem_type' on page 258 undefined on input lin e 25967. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 258 undefined on input line 25972. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 258 undefined on input line 25977. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 258 undefined on input line 25982. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 258 undefined on input line 25987. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 25992. Overfull \hbox (27.03467pt too wide) in paragraph at lines 25999--25999 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25999--25999 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25999--25999 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26014--26016 [] Underfull \hbox (badness 10000) in paragraph at lines 26033--26033 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , [258] Overfull \hbox (57.78452pt too wide) in paragraph at lines 26061--26061 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26070--26070 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26070--26070 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26071--26071 [] Underfull \hbox (badness 10000) in paragraph at lines 26071--26071 [259] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 260 undefined on input line 26210. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.is_defined_for_problem_type:evalml.objectives.Multiclass ClassificationObjective.is_defined_for_problem_type' on page 260 undefined on i nput line 26215. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 260 undefined on input line 26220. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 260 undefined on input line 26225. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 260 undefined on input line 26230. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 26235. Overfull \hbox (51.03467pt too wide) in paragraph at lines 26242--26242 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26242--26242 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26242--26242 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [260 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26257--26259 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 26276--26276 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26285--26285 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 26286--26286 [] Underfull \hbox (badness 10000) in paragraph at lines 26286--26286 [261] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 262 undefined on input line 26397. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.is_defined_for_problem_type:evalml.objectives.RegressionObjective.is_d efined_for_problem_type' on page 262 undefined on input line 26402. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 262 undefined on input line 26407. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 262 undefin ed on input line 26412. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 262 undefined on input line 26417. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 26422. Underfull \hbox (badness 10000) in paragraph at lines 26429--26429 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [262 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26444--26446 [] Underfull \hbox (badness 10000) in paragraph at lines 26472--26472 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26473--26473 [] Underfull \hbox (badness 10000) in paragraph at lines 26473--26473 [263] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 264 undefined on input line 26573. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 264 undefined on input line 26578. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 264 undefined on input line 26583. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 26588. Underfull \hbox (badness 10000) in paragraph at lines 26595--26595 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost._ _init__:evalml.objectives.FraudCost.__init__' on page 264 undefined on input li ne 26617. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 264 undefined on input line 26622. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 264 und efined on input line 26627. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.i s_defined_for_problem_type:evalml.objectives.FraudCost.is_defined_for_problem_t ype' on page 264 undefined on input line 26632. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 264 u ndefined on input line 26637. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 264 u ndefined on input line 26642. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 264 undefined on input line 266 47. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 264 undefin ed on input line 26652. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 26657. [264 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26710--26712 [] [265] [266] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 267 undefined on inpu t line 26909. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 267 undefined on input line 26914. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 267 undefined on input line 26919. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .is_defined_for_problem_type:evalml.objectives.LeadScoring.is_defined_for_probl em_type' on page 267 undefined on input line 26924. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 67 undefined on input line 26929. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 67 undefined on input line 26934. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 267 undefined on input line 26939. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 267 und efined on input line 26944. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 26949. [267 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26993--26995 [] [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 27169--27169 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.__init__:evalml.objectives.CostBenefitMatrix.__init__' on page 270 undef ined on input line 27193. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 270 undefined on input line 27198. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 270 undefined on input line 27203. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.is_defined_for_problem_type:evalml.objectives.CostBenefitMatrix.is_defin ed_for_problem_type' on page 270 undefined on input line 27208. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 270 undefined on input line 27213. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 270 undefined on input line 27218. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 270 undefined o n input line 27223. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 270 undefined on input line 27228. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 27233. [270 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27268--27268 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27283--27285 [] [271] [272] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 273 undefined on input line 27475. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 273 undefined on input line 27480 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 273 undefined on input line 27485. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 273 undefined on input line 27490. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 273 undefined on input line 27495. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 273 undefined on input line 27500. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 273 undefined on input li ne 27505. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 273 undefined on input line 27510. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 273 undefined on input line 27515. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 273 undefined on input line 27520. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 273 undefined on input line 27525. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 273 undefined on input line 27530. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 273 undefined on input line 27535. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 273 undefined on input line 27540. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 273 undefined on input line 27545. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 273 undefined on input line 27550. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 273 undefined on input line 27555. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 273 undefined on input line 27560. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 273 undefined on input line 27565. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 273 undefined on input line 27570. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 273 undefined on input line 27575. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 273 undefined on input line 27580. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 273 undefined on input line 27585. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 273 undefined on input line 27590. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 27595. [273 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 274 undefined on input line 27624. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 274 undefined on input line 27629. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.is_defined_for_problem_type:evalml.objectives.AccuracyBinary.is_defined_for _problem_type' on page 274 undefined on input line 27634. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 274 undefined on input line 27639. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 274 undefined on input line 27644. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 274 undefined on inpu t line 27649. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 74 undefined on input line 27654. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 27659. Underfull \hbox (badness 10000) in paragraph at lines 27666--27666 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27681--27683 [] [274] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27738--27738 [] Underfull \hbox (badness 10000) in paragraph at lines 27738--27738 [275] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 276 undefined on input line 27872. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.is_defined_for_problem_type:evalml.objectives.AccuracyMulticlass.is_def ined_for_problem_type' on page 276 undefined on input line 27877. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 276 undefined on input line 27882. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 276 undefined on input line 27887. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 276 undefined on input line 27892. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 27897. Underfull \hbox (badness 10000) in paragraph at lines 27904--27904 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [276 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27919--27921 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27948--27948 [] Underfull \hbox (badness 10000) in paragraph at lines 27948--27948 [277] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 278 undefined on input line 28054. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 278 undefined on in put line 28059. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.is_defi ned_for_problem_type:evalml.objectives.AUC.is_defined_for_problem_type' on page 278 undefined on input line 28064. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 278 undefined on input line 28069. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 278 undefined on input line 28074. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 278 undefined on input line 28079. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 278 undefined on input line 28084. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 28089. [278 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28111--28113 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28168--28168 [] Underfull \hbox (badness 10000) in paragraph at lines 28168--28168 [279] [280] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 281 undefined on input line 28302. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.is _defined_for_problem_type:evalml.objectives.AUCMacro.is_defined_for_problem_typ e' on page 281 undefined on input line 28307. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 281 und efined on input line 28312. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 281 undefined on input line 28317 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 281 undefined on input line 28322. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 28327. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28349--28351 [] [281 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28378--28378 [] Underfull \hbox (badness 10000) in paragraph at lines 28378--28378 [282] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 283 undefined on input line 28484. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.is _defined_for_problem_type:evalml.objectives.AUCMicro.is_defined_for_problem_typ e' on page 283 undefined on input line 28489. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 283 und efined on input line 28494. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 283 undefined on input line 28499 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 283 undefined on input line 28504. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 28509. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28531--28533 [] [283 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28560--28560 [] Underfull \hbox (badness 10000) in paragraph at lines 28560--28560 [284] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 285 undefined on input line 28666. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .is_defined_for_problem_type:evalml.objectives.AUCWeighted.is_defined_for_probl em_type' on page 285 undefined on input line 28671. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 2 85 undefined on input line 28676. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 285 undefined on input line 28681. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 285 und efined on input line 28686. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 28691. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28713--28715 [] [285 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28742--28742 [] Underfull \hbox (badness 10000) in paragraph at lines 28742--28742 [286] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 287 undefined on input line 28848. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 287 undefined on input line 28853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.is_defined_for_problem_type:evalml.objectives.BalancedAccuracyBinar y.is_defined_for_problem_type' on page 287 undefined on input line 28858. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 287 undefined on input line 28863. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 287 undefined on input line 28868. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 287 u ndefined on input line 28873. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 287 undefined on input line 28878. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 28883. Underfull \hbox (badness 10000) in paragraph at lines 28890--28890 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28890--28890 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28890--28890 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28905--28907 [] [287 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 28952--28952 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28962--28962 [] Underfull \hbox (badness 10000) in paragraph at lines 28962--28962 [288] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 289 undefined on input line 29 096. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.is_defined_for_problem_type:evalml.objectives.BalancedAccuracyM ulticlass.is_defined_for_problem_type' on page 289 undefined on input line 2910 1. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 289 undefined on input line 29106. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 289 undefined on input line 29111. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 289 undefined on input line 29116. [289 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 29121. Overfull \hbox (9.03467pt too wide) in paragraph at lines 29128--29128 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 29128--29128 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 29128--29128 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29143--29145 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 29162--29162 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 29172--29172 [] Underfull \hbox (badness 10000) in paragraph at lines 29172--29172 [290] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 291 undefined on input line 29278. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 291 undefined on inpu t line 29283. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.is_defin ed_for_problem_type:evalml.objectives.F1.is_defined_for_problem_type' on page 2 91 undefined on input line 29288. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 291 undefined on in put line 29293. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 291 undefined on in put line 29298. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 291 undefined on input line 29303. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 291 undefined on input li ne 29308. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 29313. [291 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29335--29337 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29392--29392 [] Underfull \hbox (badness 10000) in paragraph at lines 29392--29392 [292] [293] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 294 undefined on input line 29526. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 294 undefined on input line 29531. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 294 undef ined on input line 29536. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 294 undefined on input line 29541. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 294 undefined o n input line 29546. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 29551. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29573--29575 [] [294 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29602--29602 [] Underfull \hbox (badness 10000) in paragraph at lines 29602--29602 [295] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 296 undefined on input line 29708. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 296 undefined on input line 29713. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 296 undef ined on input line 29718. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 296 undefined on input line 29723. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 296 undefined o n input line 29728. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 29733. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29755--29757 [] [296 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29784--29784 [] Underfull \hbox (badness 10000) in paragraph at lines 29784--29784 [297] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 298 undefined on input line 29890. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 298 undefined on input line 29895. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 298 undefined on input line 29900. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 298 undefined on input line 2 9905. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 298 undef ined on input line 29910. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 29915. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29937--29939 [] [298 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29966--29966 [] Underfull \hbox (badness 10000) in paragraph at lines 29966--29966 [299] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 300 undefined on input line 30072. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 300 undefined on input line 30077. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.is_defined_for_problem_type:evalml.objectives.LogLossBinary.is_defined_for_p roblem_type' on page 300 undefined on input line 30082. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 300 undefined on input line 30087. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 300 undefined on input line 30092. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 300 undefined on input line 30097. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 300 undefined on input line 30102. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 30107. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30129--30131 [] [300 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30186--30186 [] Underfull \hbox (badness 10000) in paragraph at lines 30186--30186 [301] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 302 undefined on input line 30320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.is_defined_for_problem_type:evalml.objectives.LogLossMulticlass.is_defin ed_for_problem_type' on page 302 undefined on input line 30325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 302 undefined on input line 30330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 302 undefined o n input line 30335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 302 undefined on input line 30340. [302 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 30345. Underfull \hbox (badness 10000) in paragraph at lines 30352--30352 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 30367--30369 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30396--30396 [] Underfull \hbox (badness 10000) in paragraph at lines 30396--30396 [303] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 304 undefined on input line 30502. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 304 und efined on input line 30507. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.i s_defined_for_problem_type:evalml.objectives.MCCBinary.is_defined_for_problem_t ype' on page 304 undefined on input line 30512. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 304 u ndefined on input line 30517. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 304 u ndefined on input line 30522. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 304 undefined on input line 305 27. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 304 undefin ed on input line 30532. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 30537. [304 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30559--30561 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30616--30616 [] Underfull \hbox (badness 10000) in paragraph at lines 30616--30616 [305] [306] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 307 undefined on input line 30750. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.is_defined_for_problem_type:evalml.objectives.MCCMulticlass.is_defined_for_p roblem_type' on page 307 undefined on input line 30755. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 307 undefined on input line 30760. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 307 undefined on input line 30765. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 307 undefined on input line 30770. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 30775. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30797--30799 [] [307 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30826--30826 [] Underfull \hbox (badness 10000) in paragraph at lines 30826--30826 [308] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 309 undefined on input line 30932. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 309 und efined on input line 30937. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.i s_defined_for_problem_type:evalml.objectives.Precision.is_defined_for_problem_t ype' on page 309 undefined on input line 30942. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 309 u ndefined on input line 30947. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 309 u ndefined on input line 30952. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 309 undefined on input line 309 57. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 309 undefin ed on input line 30962. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 30967. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30989--30991 [] [309 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31046--31046 [] Underfull \hbox (badness 10000) in paragraph at lines 31046--31046 [310] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 311 undefined on input line 31180. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.is_defined_for_problem_type:evalml.objectives.PrecisionMicro.is_defined_for _problem_type' on page 311 undefined on input line 31185. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 311 undefined on input line 31190. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 311 undefined on inpu t line 31195. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 3 11 undefined on input line 31200. [311 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 31205. Underfull \hbox (badness 10000) in paragraph at lines 31212--31212 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31227--31229 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31256--31256 [] Underfull \hbox (badness 10000) in paragraph at lines 31256--31256 [312] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 313 undefined on input line 31362. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.is_defined_for_problem_type:evalml.objectives.PrecisionMacro.is_defined_for _problem_type' on page 313 undefined on input line 31367. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 313 undefined on input line 31372. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 313 undefined on inpu t line 31377. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 3 13 undefined on input line 31382. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 31387. [313 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31394--31394 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31409--31411 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31438--31438 [] Underfull \hbox (badness 10000) in paragraph at lines 31438--31438 [314] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 315 undefined on input line 31544. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.is_defined_for_problem_type:evalml.objectives.PrecisionWeighted.is_defin ed_for_problem_type' on page 315 undefined on input line 31549. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 315 undefined on input line 31554. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 315 undefined o n input line 31559. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 315 undefined on input line 31564. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 31569. Underfull \hbox (badness 10000) in paragraph at lines 31576--31576 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [315 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31591--31593 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31620--31620 [] Underfull \hbox (badness 10000) in paragraph at lines 31620--31620 [316] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 317 undefined on input line 31726. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 317 undefined on input line 31731. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.is_d efined_for_problem_type:evalml.objectives.Recall.is_defined_for_problem_type' o n page 317 undefined on input line 31736. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 317 undefin ed on input line 31741. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 317 undefin ed on input line 31746. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 317 undefined on input line 31751. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 317 undefined on input line 31756. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 31761. [317 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31783--31785 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31840--31840 [] Underfull \hbox (badness 10000) in paragraph at lines 31840--31840 [318] [319] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 320 undefined on input line 31974. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .is_defined_for_problem_type:evalml.objectives.RecallMicro.is_defined_for_probl em_type' on page 320 undefined on input line 31979. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 3 20 undefined on input line 31984. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 320 undefined on input line 31989. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 320 und efined on input line 31994. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 31999. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32021--32023 [] [320 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32050--32050 [] Underfull \hbox (badness 10000) in paragraph at lines 32050--32050 [321] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 322 undefined on input line 32156. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .is_defined_for_problem_type:evalml.objectives.RecallMacro.is_defined_for_probl em_type' on page 322 undefined on input line 32161. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 3 22 undefined on input line 32166. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 322 undefined on input line 32171. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 322 und efined on input line 32176. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 32181. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32203--32205 [] [322 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32232--32232 [] Underfull \hbox (badness 10000) in paragraph at lines 32232--32232 [323] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 324 undefined on input line 32338. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.is_defined_for_problem_type:evalml.objectives.RecallWeighted.is_defined_for _problem_type' on page 324 undefined on input line 32343. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 324 undefined on input line 32348. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 324 undefined on inpu t line 32353. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 3 24 undefined on input line 32358. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 32363. Underfull \hbox (badness 10000) in paragraph at lines 32370--32370 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 32385--32387 [] [324 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32414--32414 [] Underfull \hbox (badness 10000) in paragraph at lines 32414--32414 [325] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 326 undefined on input line 32514. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 326 undefined on input line 32519. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 326 undefined on input line 32524. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 326 undefined on input line 325 29. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 326 undefined on input line 32534. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 326 undefined on input line 32539. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 326 undefined on input line 32544. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 326 undefined on input line 3 2549. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 326 undefined on input line 32554. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 32559. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 326 undefined on input line 32588. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.is_defin ed_for_problem_type:evalml.objectives.R2.is_defined_for_problem_type' on page 3 26 undefined on input line 32593. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 326 undefined on in put line 32598. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 326 undefined on input line 32603. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 326 undefined on input li ne 32608. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 32613. [326 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32635--32637 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32664--32664 [] Underfull \hbox (badness 10000) in paragraph at lines 32664--32664 [327] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 328 undefined on input line 32770. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.is_defi ned_for_problem_type:evalml.objectives.MAE.is_defined_for_problem_type' on page 328 undefined on input line 32775. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 328 undefined on input line 32780. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 328 undefined on input line 32785. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 328 undefined on input line 32790. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 32795. [328 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32817--32819 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32846--32846 [] Underfull \hbox (badness 10000) in paragraph at lines 32846--32846 [329] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 330 undefined on input line 32952. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.is_defi ned_for_problem_type:evalml.objectives.MSE.is_defined_for_problem_type' on page 330 undefined on input line 32957. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 330 undefined on input line 32962. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 330 undefined on input line 32967. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 330 undefined on input line 32972. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 32977. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32999--33001 [] [330 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33028--33028 [] Underfull \hbox (badness 10000) in paragraph at lines 33028--33028 [331] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 332 undefined on input line 33136. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.is_defined_for_problem_type:evalml.objectives.MeanSquaredLogError.is_d efined_for_problem_type' on page 332 undefined on input line 33141. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 332 undefined on input line 33146. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 332 undefin ed on input line 33151. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 332 undefined on input line 33156. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 33161. Underfull \hbox (badness 10000) in paragraph at lines 33168--33168 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 33183--33185 [] [332 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33212--33212 [] Underfull \hbox (badness 10000) in paragraph at lines 33212--33212 [333] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 334 undefined on input line 33318. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.is _defined_for_problem_type:evalml.objectives.MedianAE.is_defined_for_problem_typ e' on page 334 undefined on input line 33323. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 334 und efined on input line 33328. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 334 undefined on input line 33333 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 334 undefined on input line 33338. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 33343. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33365--33367 [] [334 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33394--33394 [] Underfull \hbox (badness 10000) in paragraph at lines 33394--33394 [335] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 336 undefined on input line 33500. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.is _defined_for_problem_type:evalml.objectives.MaxError.is_defined_for_problem_typ e' on page 336 undefined on input line 33505. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 336 und efined on input line 33510. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 336 undefined on input line 33515 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 336 undefined on input line 33520. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 33525. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33547--33549 [] [336 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33576--33576 [] Underfull \hbox (badness 10000) in paragraph at lines 33576--33576 [337] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 338 undefined on input line 33682. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .is_defined_for_problem_type:evalml.objectives.ExpVariance.is_defined_for_probl em_type' on page 338 undefined on input line 33687. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 3 38 undefined on input line 33692. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 338 undefined on input line 33697. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 338 und efined on input line 33702. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 33707. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33729--33731 [] [338 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33758--33758 [] Underfull \hbox (badness 10000) in paragraph at lines 33758--33758 [339] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 340 undefined on input line 33864. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.is_defined_for_problem_type:evalml.objectives.RootMeanSquaredError.is _defined_for_problem_type' on page 340 undefined on input line 33869. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 340 undefined on input line 33874. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 340 undef ined on input line 33879. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 340 undefined on input line 33884. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 33889. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33911--33913 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 33930--33930 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [340 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33940--33940 [] Underfull \hbox (badness 10000) in paragraph at lines 33940--33940 [341] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 342 undefined on input line 34048. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.is_defined_for_problem_type:evalml.objectives.RootMeanSquaredLogEr ror.is_defined_for_problem_type' on page 342 undefined on input line 34053. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 342 undefined on input line 34058. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 342 undefined on input line 34063. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 342 undefined on input line 34068. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 34073. Underfull \hbox (badness 10000) in paragraph at lines 34080--34080 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34080--34080 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 34080--34080 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34095--34097 [] [342 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 34114--34114 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34124--34124 [] Underfull \hbox (badness 10000) in paragraph at lines 34124--34124 [343] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 344 undefined on input line 34224. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 344 undefined on input line 342 29. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 344 undefined on inpu t line 34234. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 344 undefined on input line 34239. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 344 undefined on input line 34244. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 34249. [344 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 345 undefined on input line 34339. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 345 undefined on input line 34381. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 345 undefined on input li ne 34386. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 345 undefined on input line 34391. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 34396. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 345 undefined on input line 34407. [345] Overfull \hbox (42.52957pt too wide) in paragraph at lines 34423--34425 [] Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 34496. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 346 undefined on input line 34522. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 346 undefined on input line 34527. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 34532. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 346 undefined on input line 34543. [346] Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 34630. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 347 undefined on input line 34656. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 347 undefined on input line 34661. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 347 undefined on input line 34666. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 347 undefined on input line 34671. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 34676. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 347 undefined on input line 34707. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 347 undefined on input line 34712. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 347 und efined on input line 34717. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 347 undefined on input line 34722. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 34727. [347] [348 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 349 undefined on input line 348 50. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 349 undefined on input line 34855. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 349 undefined on input line 34860. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 349 undefined on input line 34865 . Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 34870. [349] Underfull \hbox (badness 10000) in paragraph at lines 34971--34971 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 350 undefined on inpu t line 35001. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 350 undefined on input line 350 06. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 350 undefined on input line 35011. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 350 undefined on input line 35016. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 35021. [350 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [351] Underfull \hbox (badness 10000) in paragraph at lines 35129--35129 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran- Underfull \hbox (badness 10000) in paragraph at lines 35129--35129 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.__init__:evalml.tuners.RandomSearchTuner.__init__' on page 352 undefined on input line 35159. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 352 undefined on input line 35164. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 352 undefined on input line 35169. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 352 undefined on in put line 35174. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 35179. Underfull \hbox (badness 10000) in paragraph at lines 35186--35186 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [352 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [353] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 354 undefined on input line 35311. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 354 undefined on input line 35316. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 354 undefined on input line 3 5321. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 354 undefined on input line 353 26. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 354 undefined on input line 35331. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 354 undefined on input line 35336 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 354 undefined on input line 3 5341. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 354 undefined on inpu t line 35346. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 35351. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 35386. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 354 undefined on input line 35407. [354 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 35412. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 355 undefined on input line 35435. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 35483. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 355 undefined on input line 35504. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 355 undefined on input line 35509. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 35514. [355 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 356 undefined on input line 35548. [356 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 35604. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 357 undefined on input line 35625. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 357 undefined on input line 35630. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 35635. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 357 undefined on input line 35675. [357] Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 35733. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 358 u ndefined on input line 35754. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 358 u ndefined on input line 35759. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 35764. [358 <./inheritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 35870. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 359 undefined on input line 35891. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 359 undefined on input line 35896. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 35901. [359 <./inheritance-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 360 undefined on input line 35944. [360] Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 36004. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 361 und efined on input line 36025. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 361 und efined on input line 36030. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 36035. Underfull \hbox (badness 10000) in paragraph at lines 36045--36047 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [361 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 36130. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 362 undefined on input line 36151. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 362 undefined on input line 36156. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 36161. [362 <./inheritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 363 undefined on input line 36202. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 363 undefined on input line 36202. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 36250. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 363 undefined on input line 36271. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 363 undefined on input line 36276. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 36281. [363 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36289--36291 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36330--36332 []\T1/ptm/m/n/10 and LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 364 undefined on input line 36337. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 364 undefined on input line 36337. [364] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 365 undefined on input line 36378. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 365 undefined on input line 36383 . Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 36388. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 365 undefined on inpu t line 36417. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 365 undefined on inpu t line 36422. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 36427. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 365 undefined on input line 36438. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 365 undefined on input line 36466. [365 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 366 und efined on input line 36510. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 366 und efined on input line 36515. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 36520. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 366 undefined on input line 36556. [366 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 367 undefined on input line 36592. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 367 undefined on input line 36597. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 367 undefined on input line 36602. Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 36607. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 367 undef ined on input line 36642. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 367 undefin ed on input line 36647. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 367 undefined on input line 36652. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 36657. [367 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 368 undefined on input line 36744. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 368 undefined o n input line 36749. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 368 undefined on input line 36754. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 36759. [368 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 369 undef ined on input line 36846. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 369 undefin ed on input line 36851. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 369 undefined on input line 36856. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 36861. [369 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 370 undefined on input line 36936. Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 36941. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 36980. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 370 undefined on input line 37009. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 370 undefined on input line 37014. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 370 undefined on input line 37019. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 370 undefined on input line 37024. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 37029. [370 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] [371] [372] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 37200--37201 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 37200--37201 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [373] Underfull \hbox (badness 10000) in paragraph at lines 37211--37212 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37229--37230 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 37244--37245 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [374] Underfull \hbox (badness 10000) in paragraph at lines 37407--37408 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [375] Underfull \hbox (badness 10000) in paragraph at lines 37493--37494 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [376] [377] Underfull \hbox (badness 10000) in paragraph at lines 37707--37710 [] [378] [379] [380] Underfull \hbox (badness 10000) in paragraph at lines 37929--37930 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 37956--37957 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 37959--37960 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 37983--37984 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [381] Underfull \hbox (badness 10000) in paragraph at lines 38047--38048 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 38091--38092 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [382] Underfull \hbox (badness 10000) in paragraph at lines 38181--38182 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [383] Underfull \hbox (badness 10000) in paragraph at lines 38259--38260 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 38265--38266 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 38301--38302 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [384] Underfull \hbox (badness 5374) in paragraph at lines 38317--38318 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [385] Underfull \hbox (badness 10000) in paragraph at lines 38403--38404 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [386] [387] Underfull \hbox (badness 10000) in paragraph at lines 38640--38641 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 38646--38647 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [388] Underfull \hbox (badness 10000) in paragraph at lines 38780--38781 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [389] Underfull \hbox (badness 10000) in paragraph at lines 38798--38799 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 38840--38841 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 38843--38844 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [390] Underfull \hbox (badness 8113) in paragraph at lines 38914--38915 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 38920--38921 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 38938--38939 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [391] Underfull \hbox (badness 10000) in paragraph at lines 39099--39100 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [392] [393] [394] [395] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [396] (./feature-labs-inc-evalml.aux) Package rerunfilecheck Warning: File `feature-labs-inc-evalml.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were undefined references. LaTeX Warning: Label(s) may have changed. Rerun to get cross-references right. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (400 pages, 1799401 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Missing input file: 'feature-labs-inc-evalml.ind' from line 'No file feature-labs-inc-evalml.ind.' Latexmk: References changed. Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Rule 'makeindex feature-labs-inc-evalml.idx': File changes, etc: Non-existent destination files: 'feature-labs-inc-evalml.ind' ------------ Run number 1 of rule 'makeindex feature-labs-inc-evalml.idx' ------------ ------------ Running 'makeindex -s python.ist -o "feature-labs-inc-evalml.ind" "feature-labs-inc-evalml.idx"' ------------ Latexmk: applying rule 'makeindex feature-labs-inc-evalml.idx'... This is makeindex, version 2.15 [TeX Live 2017] (kpathsea + Thai support). Scanning style file ./python.ist.......done (7 attributes redefined, 0 ignored). Scanning input file feature-labs-inc-evalml.idx.....done (1072 entries accepted, 0 rejected). Sorting entries...........done (11981 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (1987 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.ind' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [64] [65] [66] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] [68] [69] Underfull \vbox (badness 10000) detected at line 5841 [70] [71] [72] [73] [74] [75] [76] [77] Underfull \vbox (badness 10000) detected at line 6555 Overfull \vbox (8.28168pt too high) detected at line 6555 [78] [79] Overfull \vbox (1.12581pt too high) detected at line 6636 [80] [81] Underfull \vbox (badness 10000) detected at line 6783 Overfull \vbox (2.68169pt too high) detected at line 6783 [82] [83] Underfull \hbox (badness 10000) in paragraph at lines 6845--6846 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] Underfull \vbox (badness 1337) detected at line 7034 [85] [86] [87] [88] [89] [90] Chapter 5. [91] [92] [93] Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a l- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowe d_model_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- [94] Underfull \hbox (badness 7869) in paragraph at lines 7710--7714 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [95] [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8113--8113 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [99] Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [100 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [101] Underfull \hbox (badness 5908) in paragraph at lines 8423--8425 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [102 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [103] [104] [105] [106 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9100--9102 []\T1/ptm/m/n/10 by sorted(set(y)) [107] [108] [109] [110 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9. pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 9565--9567 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9636--9636 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 9788--9788 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [114 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10025--10027 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10096--10096 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [116] [117] [118 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [119] [120] [121] [122 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [123] Underfull \hbox (badness 10000) in paragraph at lines 10994--10996 []\T1/ptm/m/n/10 by sorted(set(y)) [124] [125] [126 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 11490--11492 []\T1/ptm/m/n/10 by sorted(set(y)) [128] [129] [130 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [131] Underfull \hbox (badness 10000) in paragraph at lines 11991--11993 []\T1/ptm/m/n/10 by sorted(set(y)) [132] [133] [134] Underfull \hbox (badness 10000) in paragraph at lines 12214--12214 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [135 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 12487--12489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12558--12558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [137] [138] [139 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [140] [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13204--13204 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [144] [145] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13535--13535 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 13703--13703 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- [147 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13743--13747 [] Underfull \hbox (badness 10000) in paragraph at lines 13838--13838 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 13838--13838 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148] Underfull \hbox (badness 10000) in paragraph at lines 13897--13897 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [149] Underfull \hbox (badness 10000) in paragraph at lines 14032--14032 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 14032--14032 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [150 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [151] [152] Underfull \hbox (badness 10000) in paragraph at lines 14301--14301 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , [153 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [154] [155 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14617--14617 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [156] Underfull \hbox (badness 10000) in paragraph at lines 14752--14752 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 14831--14833 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [157] [158] Underfull \hbox (badness 10000) in paragraph at lines 15072--15072 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , [159 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 15151--15153 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [160] [161] Underfull \hbox (badness 10000) in paragraph at lines 15392--15392 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15392--15392 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [162 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [163] [164] [165] Underfull \hbox (badness 10000) in paragraph at lines 15787--15787 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (21.23323pt too wide) in paragraph at lines 15787--15787 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 15911--15911 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [166 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15916--15920 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [167] [168] Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 meric_impute_strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu - Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , [169 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16246--16246 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , \ T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , [170] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16422--16424 [] [171] Underfull \hbox (badness 10000) in paragraph at lines 16460--16460 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16460--16460 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , [172 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [173] [174] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16756--16758 [] [175 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [176] [177] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17109--17109 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [178 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [179] [180] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17445--17445 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [181 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17781--17781 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [184 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [185] [186] [187 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 18429--18429 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [190 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [191] [192] Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [193 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18981--18981 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18981--18981 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [194] [195] Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [196 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [199 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19609--19609 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19609--19609 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 19788--19788 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19788--19788 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19923--19923 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [203] Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [204 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20247--20247 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20247--20247 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [205] [206] Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [207 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20561--20561 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20561--20561 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [210 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 21064--21064 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [213 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [214] [215] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21396--21396 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [216 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21531--21531 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [219 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 21875--21875 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21875--21875 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [220] [221] Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [222 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22272--22272 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22272--22272 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [223] [224] Underfull \hbox (badness 10000) in paragraph at lines 22451--22451 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22451--22451 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 22451--22451 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , [225 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [226] [227] Underfull \hbox (badness 10000) in paragraph at lines 22765--22765 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 22765--22765 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- [228 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [229] Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [230 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23214--23214 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23214--23214 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [233 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23528--23528 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234] [235] Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [236 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 24031--24031 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [240] [241] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24358--24358 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [242 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24493--24493 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [245 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 25102--25102 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- [248 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25133--25133 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [249] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25247--25247 [] Underfull \hbox (badness 10000) in paragraph at lines 25247--25247 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25248--25248 [] Underfull \hbox (badness 10000) in paragraph at lines 25248--25248 Underfull \hbox (badness 10000) in paragraph at lines 25281--25281 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 25281--25281 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [250] Underfull \hbox (badness 10000) in paragraph at lines 25312--25312 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 25312--25312 \T1/ptm/m/it/10 ize_method='true'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 25345--25345 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25345--25345 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251] Underfull \hbox (badness 10000) in paragraph at lines 25460--25460 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25460--25460 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [252] Underfull \hbox (badness 10000) in paragraph at lines 25494--25494 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Overfull \hbox (9.96457pt too wide) in paragraph at lines 25562--25562 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [253] Overfull \hbox (15.96457pt too wide) in paragraph at lines 25603--25603 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 25633--25635 [] [254] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25649--25649 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 25687--25690 [] [255] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25819--25821 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25848--25848 [] Underfull \hbox (badness 10000) in paragraph at lines 25848--25848 [256] [257 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 25999--25999 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25999--25999 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25999--25999 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26014--26016 [] Underfull \hbox (badness 10000) in paragraph at lines 26033--26033 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , [258] Overfull \hbox (57.78452pt too wide) in paragraph at lines 26061--26061 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26070--26070 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26070--26070 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26071--26071 [] Underfull \hbox (badness 10000) in paragraph at lines 26071--26071 [259] Overfull \hbox (51.03467pt too wide) in paragraph at lines 26242--26242 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26242--26242 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26242--26242 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [260 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26257--26259 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 26276--26276 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26285--26285 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 26286--26286 [] Underfull \hbox (badness 10000) in paragraph at lines 26286--26286 [261] Underfull \hbox (badness 10000) in paragraph at lines 26429--26429 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [262 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26444--26446 [] Underfull \hbox (badness 10000) in paragraph at lines 26472--26472 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26473--26473 [] Underfull \hbox (badness 10000) in paragraph at lines 26473--26473 [263] Underfull \hbox (badness 10000) in paragraph at lines 26595--26595 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , [264 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26710--26712 [] [265] [266] [267 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26993--26995 [] [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 27169--27169 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , [270 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27268--27268 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27283--27285 [] [271] [272] [273 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27666--27666 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27681--27683 [] [274] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27738--27738 [] Underfull \hbox (badness 10000) in paragraph at lines 27738--27738 [275] Underfull \hbox (badness 10000) in paragraph at lines 27904--27904 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [276 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27919--27921 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27948--27948 [] Underfull \hbox (badness 10000) in paragraph at lines 27948--27948 [277] [278 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28111--28113 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28168--28168 [] Underfull \hbox (badness 10000) in paragraph at lines 28168--28168 [279] [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28349--28351 [] [281 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28378--28378 [] Underfull \hbox (badness 10000) in paragraph at lines 28378--28378 [282] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28531--28533 [] [283 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28560--28560 [] Underfull \hbox (badness 10000) in paragraph at lines 28560--28560 [284] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28713--28715 [] [285 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28742--28742 [] Underfull \hbox (badness 10000) in paragraph at lines 28742--28742 [286] Underfull \hbox (badness 10000) in paragraph at lines 28890--28890 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28890--28890 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28890--28890 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28905--28907 [] [287 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 28952--28952 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28962--28962 [] Underfull \hbox (badness 10000) in paragraph at lines 28962--28962 [288] [289 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 29128--29128 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 29128--29128 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 29128--29128 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29143--29145 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 29162--29162 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 29172--29172 [] Underfull \hbox (badness 10000) in paragraph at lines 29172--29172 [290] [291 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29335--29337 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29392--29392 [] Underfull \hbox (badness 10000) in paragraph at lines 29392--29392 [292] [293] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29573--29575 [] [294 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29602--29602 [] Underfull \hbox (badness 10000) in paragraph at lines 29602--29602 [295] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29755--29757 [] [296 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29784--29784 [] Underfull \hbox (badness 10000) in paragraph at lines 29784--29784 [297] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29937--29939 [] [298 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29966--29966 [] Underfull \hbox (badness 10000) in paragraph at lines 29966--29966 [299] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30129--30131 [] [300 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30186--30186 [] Underfull \hbox (badness 10000) in paragraph at lines 30186--30186 [301] [302 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30352--30352 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 30367--30369 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30396--30396 [] Underfull \hbox (badness 10000) in paragraph at lines 30396--30396 [303] [304 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30559--30561 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30616--30616 [] Underfull \hbox (badness 10000) in paragraph at lines 30616--30616 [305] [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30797--30799 [] [307 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30826--30826 [] Underfull \hbox (badness 10000) in paragraph at lines 30826--30826 [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30989--30991 [] [309 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31046--31046 [] Underfull \hbox (badness 10000) in paragraph at lines 31046--31046 [310] [311 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31212--31212 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31227--31229 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31256--31256 [] Underfull \hbox (badness 10000) in paragraph at lines 31256--31256 [312] [313 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31394--31394 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31409--31411 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31438--31438 [] Underfull \hbox (badness 10000) in paragraph at lines 31438--31438 [314] Underfull \hbox (badness 10000) in paragraph at lines 31576--31576 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [315 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31591--31593 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31620--31620 [] Underfull \hbox (badness 10000) in paragraph at lines 31620--31620 [316] [317 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31783--31785 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31840--31840 [] Underfull \hbox (badness 10000) in paragraph at lines 31840--31840 [318] [319] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32021--32023 [] [320 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32050--32050 [] Underfull \hbox (badness 10000) in paragraph at lines 32050--32050 [321] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32203--32205 [] [322 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32232--32232 [] Underfull \hbox (badness 10000) in paragraph at lines 32232--32232 [323] Underfull \hbox (badness 10000) in paragraph at lines 32370--32370 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 32385--32387 [] [324 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32414--32414 [] Underfull \hbox (badness 10000) in paragraph at lines 32414--32414 [325] [326 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32635--32637 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32664--32664 [] Underfull \hbox (badness 10000) in paragraph at lines 32664--32664 [327] [328 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32817--32819 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32846--32846 [] Underfull \hbox (badness 10000) in paragraph at lines 32846--32846 [329] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32999--33001 [] [330 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33028--33028 [] Underfull \hbox (badness 10000) in paragraph at lines 33028--33028 [331] Underfull \hbox (badness 10000) in paragraph at lines 33168--33168 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 33183--33185 [] [332 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33212--33212 [] Underfull \hbox (badness 10000) in paragraph at lines 33212--33212 [333] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33365--33367 [] [334 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33394--33394 [] Underfull \hbox (badness 10000) in paragraph at lines 33394--33394 [335] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33547--33549 [] [336 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33576--33576 [] Underfull \hbox (badness 10000) in paragraph at lines 33576--33576 [337] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33729--33731 [] [338 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33758--33758 [] Underfull \hbox (badness 10000) in paragraph at lines 33758--33758 [339] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33911--33913 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 33930--33930 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [340 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33940--33940 [] Underfull \hbox (badness 10000) in paragraph at lines 33940--33940 [341] Underfull \hbox (badness 10000) in paragraph at lines 34080--34080 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34080--34080 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 34080--34080 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34095--34097 [] [342 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 34114--34114 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34124--34124 [] Underfull \hbox (badness 10000) in paragraph at lines 34124--34124 [343] [344 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [345] Overfull \hbox (42.52957pt too wide) in paragraph at lines 34423--34425 [] [346] [347] [348 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [349] Underfull \hbox (badness 10000) in paragraph at lines 34971--34971 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [350 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [351] Underfull \hbox (badness 10000) in paragraph at lines 35129--35129 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran- Underfull \hbox (badness 10000) in paragraph at lines 35129--35129 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- Underfull \hbox (badness 10000) in paragraph at lines 35186--35186 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [352 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [353] [354 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [355 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [356 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [357] [358 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [359 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [360] Underfull \hbox (badness 10000) in paragraph at lines 36045--36047 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [361 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [362 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [363 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36289--36291 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36330--36332 []\T1/ptm/m/n/10 and [364] [365 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [366 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [367 <./inhe ritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [368 <./inheritance-5576 b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [369 <./inheritance-9d7aac3b6c2e0aed 0555fa923a3e3e94de4b6ce9.pdf>] [370 <./inheritance-c18ad8ab8f4940926b3f303c62cb 8aede2781316.pdf>] [371] [372] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 37200--37201 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 37200--37201 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [373] Underfull \hbox (badness 10000) in paragraph at lines 37211--37212 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37229--37230 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 37244--37245 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [374] Underfull \hbox (badness 10000) in paragraph at lines 37407--37408 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [375] Underfull \hbox (badness 10000) in paragraph at lines 37493--37494 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [376] [377] Underfull \hbox (badness 10000) in paragraph at lines 37707--37710 [] [378] [379] [380] Underfull \hbox (badness 10000) in paragraph at lines 37929--37930 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 37956--37957 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 37959--37960 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 37983--37984 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [381] Underfull \hbox (badness 10000) in paragraph at lines 38047--38048 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 38091--38092 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [382] Underfull \hbox (badness 10000) in paragraph at lines 38181--38182 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [383] Underfull \hbox (badness 10000) in paragraph at lines 38259--38260 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 38265--38266 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 38301--38302 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [384] Underfull \hbox (badness 5374) in paragraph at lines 38317--38318 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [385] Underfull \hbox (badness 10000) in paragraph at lines 38403--38404 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [386] [387] Underfull \hbox (badness 10000) in paragraph at lines 38640--38641 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 38646--38647 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [388] Underfull \hbox (badness 10000) in paragraph at lines 38780--38781 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [389] Underfull \hbox (badness 10000) in paragraph at lines 38798--38799 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 38840--38841 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 38843--38844 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [390] Underfull \hbox (badness 8113) in paragraph at lines 38914--38915 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 38920--38921 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 38938--38939 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [391] Underfull \hbox (badness 10000) in paragraph at lines 39099--39100 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [392] [393] [394] [395] (./feature-labs-inc-evalml.ind [396] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [397] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 BinaryClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 189--191 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 189--191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class [398] Underfull \hbox (badness 10000) in paragraph at lines 191--193 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 191--193 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 193--195 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 197--199 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 201--203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 203--205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 215--217 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 215--217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 217--219 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 219--221 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 219--221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 227--229 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 231--233 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 235--237 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 235--237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 237--239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 239--241 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 243--245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 245--247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 249--251 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 249--251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 251--253 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 251--253 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 253--255 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 257--259 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 259--261 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [399] Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 267--269 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\T1/pcr/m/n/10 ClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 278--279 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 285--287 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (8.02017pt too wide) in paragraph at lines 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineClassifier Overfull \hbox (9.46036pt too wide) in paragraph at lines 291--293 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineRegressor Overfull \hbox (10.81021pt too wide) in paragraph at lines 293--295 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostClassifier Overfull \hbox (12.2504pt too wide) in paragraph at lines 295--297 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostRegressor Overfull \hbox (0.79085pt too wide) in paragraph at lines 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ComponentBase Overfull \hbox (15.60025pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 303--305 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 305--307 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropColumns Overfull \hbox (8.69058pt too wide) in paragraph at lines 307--309 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropNullColumns Overfull \hbox (15.24988pt too wide) in paragraph at lines 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetClassifier Overfull \hbox (16.69006pt too wide) in paragraph at lines 311--313 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 313--314 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Estimator Overfull \hbox (16.9501pt too wide) in paragraph at lines 314--316 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesClassifier Overfull \hbox (18.39029pt too wide) in paragraph at lines 316--318 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 318--319 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 319--321 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (1.69048pt too wide) in paragraph at lines 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LinearRegressor Overfull \hbox (49.3796pt too wide) in paragraph at lines 323--325 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LogisticRegressionClassifier Overfull \hbox (0.78084pt too wide) in paragraph at lines 325--327 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.OneHotEncoder Overfull \hbox (12.21062pt too wide) in paragraph at lines 327--329 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.PerColumnImputer Overfull \hbox (31.60023pt too wide) in paragraph at lines 329--331 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestClassifier Overfull \hbox (33.04042pt too wide) in paragraph at lines 331--333 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestRegressor Overfull \hbox (56.44995pt too wide) in paragraph at lines 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFClassifierSelectFromModel Overfull \hbox (57.89014pt too wide) in paragraph at lines 335--337 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Transformer Overfull \hbox (9.69035pt too wide) in paragraph at lines 351--353 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostClassifier Overfull \hbox (11.13054pt too wide) in paragraph at lines 353--355 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor Overfull \hbox (19.18016pt too wide) in paragraph at lines 355--357 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 357--359 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 361--363 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [400] Overfull \hbox (27.96046pt too wide) in paragraph at lines 365--367 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 367--369 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 369--371 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 371--373 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 373--375 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 377--378 []\T1/pcr/m/n/10 ComponentBase \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 416--418 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 432--434 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 434--435 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10 DataCheckMessageType \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 DateTimeFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [401] Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 457--458 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [402] Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 545--547 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 545--547 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 552--554 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 554--556 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 572--574 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 574--576 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 576--578 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 578--580 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 580--582 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 582--584 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 588--589 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 589--591 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 593--595 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 597--599 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (49.60023pt too wide) in paragraph at lines 599--601 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (74.44995pt too wide) in paragraph at lines 603--605 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 605--607 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (12.68059pt too wide) in paragraph at lines 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [403] Overfull \hbox (10.81046pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 631--633 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 634--635 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 635--636 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 635--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 641--642 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 650--652 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 652--654 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 654--656 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 668--669 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 690--692 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 692--693 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 695--697 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 697--699 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 699--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 702--704 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 705--707 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 707--709 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier Underfull \hbox (badness 10000) in paragraph at lines 711--713 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [404] Overfull \hbox (19.60023pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 719--721 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 721--723 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 729--731 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 731--733 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 740--742 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 746--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 749--750 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 750--752 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (39.46088pt too wide) in paragraph at lines 752--754 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 754--756 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 756--758 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 758--760 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 760--762 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 766--768 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 768--770 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 770--772 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (40.81046pt too wide) in paragraph at lines 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TextFeaturizer Overfull \hbox (33.10078pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 788--790 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 790--792 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 792--794 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 794--796 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 796--798 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 798--800 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 800--802 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 802--804 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 805--807 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 809--810 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel [405] Overfull \hbox (81.89014pt too wide) in paragraph at lines 818--820 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 836--838 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 838--840 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 840--842 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 842--844 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 graph_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 graph_roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 handle_model_family() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 handle_problem_types() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 888--889 []\T1/pcr/m/n/10 HighlyNullDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 889--891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 891--893 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 891--893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 893--895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 895--897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [406] Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 915--917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 917--919 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 917--919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 921--923 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 921--923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 923--925 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 923--925 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 925--927 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 927--929 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 929--931 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 929--931 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 931--933 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 931--933 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 933--935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 935--937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 937--939 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 937--939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 939--941 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 939--941 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 941--943 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 943--945 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 943--945 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 945--947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 947--949 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 947--949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 949--951 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 949--951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 951--953 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 953--955 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 959--961 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 961--963 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 969--970 []\T1/pcr/m/n/10 InvalidTargetDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 970--972 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 972--974 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 972--974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 974--976 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 982--984 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [407] Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 984--986 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 986--988 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 986--988 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 988--990 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 988--990 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 996--998 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 996--998 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 998--1000 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1000--1002 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1018--1020 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1018--1020 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1020--1022 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1022--1024 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1038--1040 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.GridSearchTuner method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1054--1056 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1056--1058 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1058--1060 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [408] Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 []\T1/pcr/m/n/10 LightGBMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1066--1067 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1078--1080 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1080--1082 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1082--1084 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1084--1086 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1094--1096 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1096--1098 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1098--1100 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1100--1102 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox (10.9501pt too wide) in paragraph at lines 1104--1106 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1106--1108 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (10.36026pt too wide) in paragraph at lines 1110--1112 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1114--1116 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1120--1122 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1134--1136 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1136--1138 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1140--1142 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1142--1144 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1144--1146 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1146--1148 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static [409] Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 MeanBaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (7.52121pt too wide) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckMessage Overfull \hbox (6.81137pt too wide) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 1187--1188 []\T1/pcr/m/n/10 ModeBaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1188--1190 []\T1/pcr/m/n/10 ModeBaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (9.96046pt too wide) in paragraph at lines 1190--1192 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1192--1194 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1194--1196 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (38.02017pt too wide) in paragraph at lines 1196--1198 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineClassifier Overfull \hbox (39.46036pt too wide) in paragraph at lines 1198--1200 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor Overfull \hbox (40.81021pt too wide) in paragraph at lines 1200--1202 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostClassifier Overfull \hbox (42.2504pt too wide) in paragraph at lines 1202--1204 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostRegressor Overfull \hbox (45.60025pt too wide) in paragraph at lines 1204--1206 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1206--1208 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1208--1210 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropColumns Overfull \hbox (38.69058pt too wide) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropNullColumns Overfull \hbox (45.24988pt too wide) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier Overfull \hbox (46.69006pt too wide) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetRegressor Overfull \hbox (46.9501pt too wide) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesClassifier Overfull \hbox (48.39029pt too wide) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (46.36026pt too wide) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMClassifier Overfull \hbox (31.69048pt too wide) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LinearRegressor Overfull \hbox (79.3796pt too wide) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LogisticRegressionClassifier Overfull \hbox (30.78084pt too wide) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Overfull \hbox (42.21062pt too wide) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.PerColumnImputer Overfull \hbox (61.60023pt too wide) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestClassifier Overfull \hbox (63.04042pt too wide) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestRegressor Overfull \hbox (86.44995pt too wide) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFClassifierSelectFromModel Overfull \hbox (87.89014pt too wide) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFRegressorSelectFromModel Overfull \hbox (24.68059pt too wide) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SelectColumns Overfull \hbox (24.12065pt too wide) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (22.81046pt too wide) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (39.69035pt too wide) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostClassifier Overfull \hbox (41.13054pt too wide) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostRegressor Overfull \hbox (49.18016pt too wide) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Underfull \hbox (badness 6542) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 MulticlassClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class [410] Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Highly NullDataCheck at- Underfull \hbox (badness 10000) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseline BinaryPipeline at- Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1306--1308 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1308--1310 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1310--1312 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropColumns at- Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.LogisticRegressionClassifier Overfull \hbox (13.60023pt too wide) in paragraph at lines 1333--1335 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestClassifier Overfull \hbox (15.04042pt too wide) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestRegressor Overfull \hbox (38.44995pt too wide) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFClassifierSelectFromModel Overfull \hbox (39.89014pt too wide) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1345--1347 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostClassifier Underfull \hbox (badness 7291) in paragraph at lines 1355--1357 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostRegressor Overfull \hbox (1.18016pt too wide) in paragraph at lines 1357--1359 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1366--1367 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1367--1369 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 1369--1371 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm [411] Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1373--1374 []\T1/pcr/m/n/10 NoVarianceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1374--1375 []\T1/pcr/m/n/10 number_of_features() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1382--1383 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1391--1393 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1393--1395 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1393--1395 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1395--1397 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1399--1400 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1402--1404 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Weighted method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1414--1415 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1415--1417 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1423--1425 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1425--1426 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1426--1428 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1426--1428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1430--1432 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1436--1438 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1438--1439 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.R2 Underfull \hbox (badness 10000) in paragraph at lines 1439--1440 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMicro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [412] Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1453--1454 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1456--1457 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1459--1461 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1459--1461 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1461--1463 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1463--1464 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1472--1474 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1474--1475 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1479--1480 []\T1/pcr/m/n/10 PerColumnImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1482--1484 []\T1/pcr/m/n/10 precision_recall_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1487--1489 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineBinaryPipeline Overfull \hbox (6.41pt too wide) in paragraph at lines 1489--1491 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineMulticlassPipeline Overfull \hbox (8.41026pt too wide) in paragraph at lines 1491--1493 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineRegressionPipeline Overfull \hbox (12.53014pt too wide) in paragraph at lines 1493--1495 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bin aryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1495--1497 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cla ssificationPipeline Overfull \hbox (20.02017pt too wide) in paragraph at lines 1497--1499 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier Overfull \hbox (21.46036pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineRegressor Overfull \hbox (22.81021pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier Overfull \hbox (24.2504pt too wide) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 1507--1509 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1509--1511 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetClassifier Overfull \hbox (28.69006pt too wide) in paragraph at lines 1511--1513 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1513--1515 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator Overfull \hbox (28.9501pt too wide) in paragraph at lines 1515--1517 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier Overfull \hbox (30.39029pt too wide) in paragraph at lines 1517--1519 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (28.36026pt too wide) in paragraph at lines 1519--1521 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMClassifier Overfull \hbox (13.69048pt too wide) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LinearRegressor Overfull \hbox (61.3796pt too wide) in paragraph at lines 1523--1525 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LogisticRegressionClassifier Overfull \hbox (43.60023pt too wide) in paragraph at lines 1525--1527 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestClassifier Overfull \hbox (45.04042pt too wide) in paragraph at lines 1527--1529 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1533--1535 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostClassifier Overfull \hbox (23.13054pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostRegressor Overfull \hbox (31.18016pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mea nBaselineRegressionPipeline Overfull \hbox (14.73036pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineBinaryPipeline [413] Overfull \hbox (29.1799pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineMulticlassPipeline Overfull \hbox (26.97968pt too wide) in paragraph at lines 1543--1545 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 1545--1546 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Pip elineBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1546--1547 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1547--1549 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 1549--1551 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 1551--1553 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 1553--1555 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (56.02017pt too wide) in paragraph at lines 1555--1557 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineClassifier Overfull \hbox (57.46036pt too wide) in paragraph at lines 1557--1559 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineRegressor Overfull \hbox (58.81021pt too wide) in paragraph at lines 1559--1561 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostClassifier Overfull \hbox (60.2504pt too wide) in paragraph at lines 1561--1563 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1563--1565 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 1565--1567 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1567--1569 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetClassifier Overfull \hbox (64.69006pt too wide) in paragraph at lines 1569--1571 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetRegressor Overfull \hbox (22.69072pt too wide) in paragraph at lines 1571--1573 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Estimator Overfull \hbox (64.9501pt too wide) in paragraph at lines 1573--1575 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesClassifier Overfull \hbox (66.39029pt too wide) in paragraph at lines 1575--1577 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (64.36026pt too wide) in paragraph at lines 1577--1579 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier Overfull \hbox (49.69048pt too wide) in paragraph at lines 1579--1581 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LinearRegressor Overfull \hbox (97.3796pt too wide) in paragraph at lines 1581--1583 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LogisticRegressionClassifier Overfull \hbox (79.60023pt too wide) in paragraph at lines 1583--1585 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestClassifier Overfull \hbox (81.04042pt too wide) in paragraph at lines 1585--1587 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 1587--1589 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1589--1591 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1591--1593 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostClassifier Overfull \hbox (59.13054pt too wide) in paragraph at lines 1593--1595 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostRegressor Overfull \hbox (50.73036pt too wide) in paragraph at lines 1595--1597 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 1597--1599 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 1599--1601 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1601--1603 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (30.53014pt too wide) in paragraph at lines 1607--1609 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BinaryClassificationPipeline Overfull \hbox (3.31042pt too wide) in paragraph at lines 1609--1611 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ClassificationPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1611--1613 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1613--1615 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1615--1617 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (44.97968pt too wide) in paragraph at lines 1617--1619 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1619--1620 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. PipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 1620--1622 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1624--1625 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner Underfull \hbox (badness 10000) in paragraph at lines 1631--1633 []\T1/pcr/m/n/10 RandomForestClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1633--1635 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [414] Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 RFClassifierSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 []\T1/pcr/m/n/10 RFRegressorSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1646--1647 []\T1/pcr/m/n/10 roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1647--1648 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1648--1649 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1653--1654 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1654--1656 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1656--1658 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1660--1661 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Classi ficationPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1661--1663 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1663--1665 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1667--1669 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1671--1673 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1673--1675 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1675--1677 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1677--1678 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1678--1680 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1680--1682 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1682--1684 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1684--1685 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Estimator Overfull \hbox (10.9501pt too wide) in paragraph at lines 1685--1687 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1687--1689 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (10.36026pt too wide) in paragraph at lines 1690--1692 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1694--1696 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1700--1702 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1702--1704 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1704--1706 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1706--1708 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1712--1714 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1716--1718 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1721--1723 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1723--1725 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1725--1727 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1729--1731 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1731--1733 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Accu racyMulticlass [415] Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyBinary Overfull \hbox (5.9003pt too wide) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass Overfull \hbox (9.39989pt too wide) in paragraph at lines 1745--1747 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1755--1756 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossBinary method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1756--1757 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1761--1762 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mean SquaredLogError Overfull \hbox (23.84943pt too wide) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1766--1767 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Obje ctiveBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1770--1771 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Prec isionWeighted Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Regr essionObjective Underfull \hbox (badness 10000) in paragraph at lines 1777--1778 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredError Overfull \hbox (1.26079pt too wide) in paragraph at lines 1778--1780 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1780--1782 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1788--1790 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 1790--1792 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1792--1794 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1794--1796 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 1796--1798 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1801--1802 []\T1/pcr/m/n/10 SelectColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 []\T1/pcr/m/n/10 SimpleImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1805--1807 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1807--1809 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1809--1810 []\T1/pcr/m/n/10 StandardScaler \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (19.18016pt too wide) in paragraph at lines 1816--1818 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1818--1820 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1820--1822 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1822--1824 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1822--1824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1824--1826 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1824--1826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1826--1828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [416] Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1830--1832 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1830--1832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1832--1834 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1832--1834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1834--1836 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1834--1836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1836--1838 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1836--1838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1838--1840 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1838--1840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1840--1842 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1842--1844 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1842--1844 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1846--1848 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1846--1848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1848--1850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1850--1852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1852--1854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1854--1856 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1854--1856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1856--1858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1858--1860 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1858--1860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1863--1864 []\T1/pcr/m/n/10 target_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1864--1865 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1865--1866 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (39.60025pt too wide) in paragraph at lines 1866--1868 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropColumns Overfull \hbox (32.69058pt too wide) in paragraph at lines 1870--1872 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Imputer Overfull \hbox (24.78084pt too wide) in paragraph at lines 1874--1876 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder Overfull \hbox (36.21062pt too wide) in paragraph at lines 1876--1878 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.PerColumnImputer Overfull \hbox (80.44995pt too wide) in paragraph at lines 1878--1880 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 1880--1882 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Overfull \hbox (18.68059pt too wide) in paragraph at lines 1882--1884 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SelectColumns Overfull \hbox (18.12065pt too wide) in paragraph at lines 1884--1886 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SimpleImputer Overfull \hbox (21.09074pt too wide) in paragraph at lines 1886--1888 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (16.81046pt too wide) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TextFeaturizer Overfull \hbox (9.10078pt too wide) in paragraph at lines 1890--1892 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1900--1901 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 1903--1905 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 1905--1907 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 1907--1909 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1909--1911 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 1911--1913 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 1913--1915 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck [417] Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1919--1920 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1921--1922 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1926--1928 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1926--1928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1928--1930 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1928--1930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1930--1932 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1935--1936 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Macro Underfull \hbox (badness 10000) in paragraph at lines 1936--1937 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Micro Underfull \hbox (badness 10000) in paragraph at lines 1939--1940 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1944--1946 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1946--1947 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1947--1948 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1953--1954 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1954--1955 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1955--1957 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1955--1957 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1959--1960 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Precision Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1967--1968 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1983--1985 []\T1/pcr/m/n/10 XGBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1985--1986 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [418] [419]) (./feature-labs-inc-evalml.aux) Package rerunfilecheck Warning: File `feature-labs-inc-evalml.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were multiply-defined labels. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (423 pages, 1915277 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.out' 'feature-labs-inc-evalml.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [64] [65] [66] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] [68] [69] Underfull \vbox (badness 10000) detected at line 5841 [70] [71] [72] [73] [74] [75] [76] [77] Underfull \vbox (badness 10000) detected at line 6555 Overfull \vbox (8.28168pt too high) detected at line 6555 [78] [79] Overfull \vbox (1.12581pt too high) detected at line 6636 [80] [81] Underfull \vbox (badness 10000) detected at line 6783 Overfull \vbox (2.68169pt too high) detected at line 6783 [82] [83] Underfull \hbox (badness 10000) in paragraph at lines 6845--6846 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] Underfull \vbox (badness 1337) detected at line 7034 [85] [86] [87] [88] [89] [90] Chapter 5. [91] [92] [93] Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tol-er-ance=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 data_split=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a l- Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowed_m odel_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7598--7598 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 al-lowe d_model_families=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 start_iteration_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 a dd_result_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7662--7662 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- [94] Underfull \hbox (badness 7869) in paragraph at lines 7710--7714 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [95] [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8069--8069 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8113--8113 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [99] Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 8223--8223 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8267--8267 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 text_columns=N one\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [100 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [101] Underfull \hbox (badness 5908) in paragraph at lines 8423--8425 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [102 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [103] [104] [105] [106 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9100--9102 []\T1/ptm/m/n/10 by sorted(set(y)) [107] [108] [109] [110 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9. pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 9565--9567 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9636--9636 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [112] [113] Underfull \hbox (badness 10000) in paragraph at lines 9788--9788 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [114 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10025--10027 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10096--10096 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [116] [117] [118 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [119] [120] [121] [122 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [123] Underfull \hbox (badness 10000) in paragraph at lines 10994--10996 []\T1/ptm/m/n/10 by sorted(set(y)) [124] [125] [126 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [127] Underfull \hbox (badness 10000) in paragraph at lines 11490--11492 []\T1/ptm/m/n/10 by sorted(set(y)) [128] [129] [130 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [131] Underfull \hbox (badness 10000) in paragraph at lines 11991--11993 []\T1/ptm/m/n/10 by sorted(set(y)) [132] [133] [134] Underfull \hbox (badness 10000) in paragraph at lines 12214--12214 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [135 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [136] Underfull \hbox (badness 10000) in paragraph at lines 12487--12489 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12558--12558 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [137] [138] [139 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [140] [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13204--13204 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [143 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [144] [145] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13535--13535 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [146] Underfull \hbox (badness 10000) in paragraph at lines 13703--13703 []\T1/ptm/m/it/10 X\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m /it/10 es-ti-ma-tor\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- [147 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13742--13742 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13743--13747 [] Underfull \hbox (badness 10000) in paragraph at lines 13838--13838 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 13838--13838 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148] Underfull \hbox (badness 10000) in paragraph at lines 13897--13897 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [149] Underfull \hbox (badness 10000) in paragraph at lines 14032--14032 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po- Underfull \hbox (badness 10000) in paragraph at lines 14032--14032 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [150 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [151] [152] Underfull \hbox (badness 10000) in paragraph at lines 14301--14301 []\T1/ptm/m/it/10 parameters=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 com-po-nent_o bj=None\T1/ptm/m/n/10 , [153 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [154] [155 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14617--14617 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [156] Underfull \hbox (badness 10000) in paragraph at lines 14752--14752 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Underfull \hbox (badness 7576) in paragraph at lines 14831--14833 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [157] [158] Underfull \hbox (badness 10000) in paragraph at lines 15072--15072 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , [159 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 15151--15153 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [160] [161] Underfull \hbox (badness 10000) in paragraph at lines 15392--15392 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15392--15392 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [162 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [163] [164] [165] Underfull \hbox (badness 10000) in paragraph at lines 15787--15787 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Overfull \hbox (21.23323pt too wide) in paragraph at lines 15787--15787 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 15911--15911 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [166 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15916--15920 []\T1/pcr/b/n/10 impute_strategies \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 dict\T1/ptm/ m/n/10 ) ^^U Col-umn and {^^Pim-pute_strategy^^Q: strat-egy, [167] [168] Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu- Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 meric_impute_strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nu - Underfull \hbox (badness 10000) in paragraph at lines 16122--16122 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , [169 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16246--16246 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , \ T1/ptm/m/it/10 cat-e-gor-i-cal_fill_value=None\T1/ptm/m/n/10 , [170] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16422--16424 [] [171] Underfull \hbox (badness 10000) in paragraph at lines 16460--16460 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16460--16460 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , [172 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [173] [174] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16756--16758 [] [175 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [176] [177] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17109--17109 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17109--17109 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [178 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17238--17238 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [179] [180] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17445--17445 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 17445--17445 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [181 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_estima tors=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 per-cent_feature s=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17574--17574 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm /m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17781--17781 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [184 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [185] [186] [187 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 18429--18429 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [190 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [191] [192] Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18833--18833 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [193 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18981--18981 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 18981--18981 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [194] [195] Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19160--19160 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [196 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [197] [198] Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19474--19474 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [199 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19609--19609 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19609--19609 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 19788--19788 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19788--19788 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19923--19923 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [203] Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20102--20102 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [204 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20247--20247 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20247--20247 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [205] [206] Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20426--20426 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [207 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20561--20561 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20561--20561 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208] [209] Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20740--20740 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [210 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [211] [212] Underfull \hbox (badness 10000) in paragraph at lines 21064--21064 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [213 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [214] [215] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21396--21396 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21396--21396 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [216 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21531--21531 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [217] [218] Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21740--21740 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [219 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 21875--21875 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21875--21875 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [220] [221] Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22124--22124 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [222 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22272--22272 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 22272--22272 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [223] [224] Underfull \hbox (badness 10000) in paragraph at lines 22451--22451 []\T1/ptm/m/it/10 alpha=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 l1_ratio=0.5\T1/ptm /m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22451--22451 \T1/ptm/m/it/10 max_iter=1000\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 5954) in paragraph at lines 22451--22451 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , [225 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [226] [227] Underfull \hbox (badness 10000) in paragraph at lines 22765--22765 []\T1/ptm/m/it/10 fit_intercept=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 22765--22765 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- [228 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [229] Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 23079--23079 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [230 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23214--23214 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23214--23214 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [231] [232] Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=- Underfull \hbox (badness 10000) in paragraph at lines 23393--23393 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [233 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23528--23528 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234] [235] Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 []\T1/ptm/m/it/10 eta=0.1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/ n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23707--23707 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [236 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [237] [238] Underfull \hbox (badness 10000) in paragraph at lines 24031--24031 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [239 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [240] [241] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24358--24358 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24358--24358 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [242 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24493--24493 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [243] [244] Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24702--24702 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [245 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 min_weight_ fraction_leaf=0.0\T1/ptm/m/n/10 , [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 25102--25102 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- [248 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25133--25133 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [249] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25247--25247 [] Underfull \hbox (badness 10000) in paragraph at lines 25247--25247 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25248--25248 [] Underfull \hbox (badness 10000) in paragraph at lines 25248--25248 Underfull \hbox (badness 10000) in paragraph at lines 25281--25281 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred_proba\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 cus- Underfull \hbox (badness 10000) in paragraph at lines 25281--25281 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [250] Underfull \hbox (badness 10000) in paragraph at lines 25312--25312 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 25312--25312 \T1/ptm/m/it/10 ize_method='true'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 25345--25345 \T1/ptm/m/it/10 tive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_repeats=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25345--25345 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [251] Underfull \hbox (badness 10000) in paragraph at lines 25460--25460 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , \T1/ptm/m/it/10 X\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25460--25460 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [252] Underfull \hbox (badness 10000) in paragraph at lines 25494--25494 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Overfull \hbox (9.96457pt too wide) in paragraph at lines 25562--25562 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25562--25562 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [253] Overfull \hbox (15.96457pt too wide) in paragraph at lines 25603--25603 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25603--25603 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 25633--25635 [] [254] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25649--25649 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25649--25649 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 25687--25690 [] [255] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25819--25821 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25848--25848 [] Underfull \hbox (badness 10000) in paragraph at lines 25848--25848 [256] [257 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 25999--25999 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25999--25999 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25999--25999 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26014--26016 [] Underfull \hbox (badness 10000) in paragraph at lines 26033--26033 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , [258] Overfull \hbox (57.78452pt too wide) in paragraph at lines 26061--26061 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26070--26070 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26070--26070 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26071--26071 [] Underfull \hbox (badness 10000) in paragraph at lines 26071--26071 [259] Overfull \hbox (51.03467pt too wide) in paragraph at lines 26242--26242 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26242--26242 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26242--26242 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [260 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26257--26259 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 26276--26276 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 26285--26285 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26285--26285 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 26286--26286 [] Underfull \hbox (badness 10000) in paragraph at lines 26286--26286 [261] Underfull \hbox (badness 10000) in paragraph at lines 26429--26429 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [262 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26444--26446 [] Underfull \hbox (badness 10000) in paragraph at lines 26472--26472 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 26473--26473 [] Underfull \hbox (badness 10000) in paragraph at lines 26473--26473 [263] Underfull \hbox (badness 10000) in paragraph at lines 26595--26595 []\T1/ptm/m/it/10 retry_percentage=0.5\T1/ptm/m/n/10 , \T1/ptm/m/it/10 in-ter-c hange_fee=0.02\T1/ptm/m/n/10 , [264 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26710--26712 [] [265] [266] [267 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26993--26995 [] [268] [269] Underfull \hbox (badness 10000) in paragraph at lines 27169--27169 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , [270 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27268--27268 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27283--27285 [] [271] [272] [273 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27666--27666 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 27681--27683 [] [274] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27738--27738 [] Underfull \hbox (badness 10000) in paragraph at lines 27738--27738 [275] Underfull \hbox (badness 10000) in paragraph at lines 27904--27904 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [276 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27919--27921 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27948--27948 [] Underfull \hbox (badness 10000) in paragraph at lines 27948--27948 [277] [278 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28111--28113 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28168--28168 [] Underfull \hbox (badness 10000) in paragraph at lines 28168--28168 [279] [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28349--28351 [] [281 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28378--28378 [] Underfull \hbox (badness 10000) in paragraph at lines 28378--28378 [282] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28531--28533 [] [283 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28560--28560 [] Underfull \hbox (badness 10000) in paragraph at lines 28560--28560 [284] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28713--28715 [] [285 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28742--28742 [] Underfull \hbox (badness 10000) in paragraph at lines 28742--28742 [286] Underfull \hbox (badness 10000) in paragraph at lines 28890--28890 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28890--28890 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28890--28890 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28905--28907 [] [287 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 28952--28952 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28962--28962 [] Underfull \hbox (badness 10000) in paragraph at lines 28962--28962 [288] [289 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 29128--29128 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 29128--29128 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 29128--29128 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29143--29145 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 29162--29162 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 29172--29172 [] Underfull \hbox (badness 10000) in paragraph at lines 29172--29172 [290] [291 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29335--29337 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29392--29392 [] Underfull \hbox (badness 10000) in paragraph at lines 29392--29392 [292] [293] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29573--29575 [] [294 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29602--29602 [] Underfull \hbox (badness 10000) in paragraph at lines 29602--29602 [295] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29755--29757 [] [296 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29784--29784 [] Underfull \hbox (badness 10000) in paragraph at lines 29784--29784 [297] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29937--29939 [] [298 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29966--29966 [] Underfull \hbox (badness 10000) in paragraph at lines 29966--29966 [299] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30129--30131 [] [300 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30186--30186 [] Underfull \hbox (badness 10000) in paragraph at lines 30186--30186 [301] [302 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30352--30352 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 30367--30369 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30396--30396 [] Underfull \hbox (badness 10000) in paragraph at lines 30396--30396 [303] [304 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30559--30561 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30616--30616 [] Underfull \hbox (badness 10000) in paragraph at lines 30616--30616 [305] [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30797--30799 [] [307 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30826--30826 [] Underfull \hbox (badness 10000) in paragraph at lines 30826--30826 [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30989--30991 [] [309 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31046--31046 [] Underfull \hbox (badness 10000) in paragraph at lines 31046--31046 [310] [311 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31212--31212 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31227--31229 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31256--31256 [] Underfull \hbox (badness 10000) in paragraph at lines 31256--31256 [312] [313 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31394--31394 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 31409--31411 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31438--31438 [] Underfull \hbox (badness 10000) in paragraph at lines 31438--31438 [314] Underfull \hbox (badness 10000) in paragraph at lines 31576--31576 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [315 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31591--31593 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31620--31620 [] Underfull \hbox (badness 10000) in paragraph at lines 31620--31620 [316] [317 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31783--31785 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31840--31840 [] Underfull \hbox (badness 10000) in paragraph at lines 31840--31840 [318] [319] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32021--32023 [] [320 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32050--32050 [] Underfull \hbox (badness 10000) in paragraph at lines 32050--32050 [321] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32203--32205 [] [322 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32232--32232 [] Underfull \hbox (badness 10000) in paragraph at lines 32232--32232 [323] Underfull \hbox (badness 10000) in paragraph at lines 32370--32370 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 32385--32387 [] [324 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32414--32414 [] Underfull \hbox (badness 10000) in paragraph at lines 32414--32414 [325] [326 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32635--32637 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32664--32664 [] Underfull \hbox (badness 10000) in paragraph at lines 32664--32664 [327] [328 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32817--32819 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32846--32846 [] Underfull \hbox (badness 10000) in paragraph at lines 32846--32846 [329] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32999--33001 [] [330 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33028--33028 [] Underfull \hbox (badness 10000) in paragraph at lines 33028--33028 [331] Underfull \hbox (badness 10000) in paragraph at lines 33168--33168 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 33183--33185 [] [332 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33212--33212 [] Underfull \hbox (badness 10000) in paragraph at lines 33212--33212 [333] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33365--33367 [] [334 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33394--33394 [] Underfull \hbox (badness 10000) in paragraph at lines 33394--33394 [335] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33547--33549 [] [336 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33576--33576 [] Underfull \hbox (badness 10000) in paragraph at lines 33576--33576 [337] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33729--33731 [] [338 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33758--33758 [] Underfull \hbox (badness 10000) in paragraph at lines 33758--33758 [339] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33911--33913 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 33930--33930 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [340 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33940--33940 [] Underfull \hbox (badness 10000) in paragraph at lines 33940--33940 [341] Underfull \hbox (badness 10000) in paragraph at lines 34080--34080 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 34080--34080 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 34080--34080 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 34095--34097 [] [342 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 34114--34114 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 34124--34124 [] Underfull \hbox (badness 10000) in paragraph at lines 34124--34124 [343] [344 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [345] Overfull \hbox (42.52957pt too wide) in paragraph at lines 34423--34425 [] [346] [347] [348 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [349] Underfull \hbox (badness 10000) in paragraph at lines 34971--34971 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [350 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [351] Underfull \hbox (badness 10000) in paragraph at lines 35129--35129 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran- Underfull \hbox (badness 10000) in paragraph at lines 35129--35129 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- Underfull \hbox (badness 10000) in paragraph at lines 35186--35186 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 ran-dom_state=0\T1/ptm/m/n/10 , [352 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [353] [354 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [355 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [356 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [357] [358 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [359 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [360] Underfull \hbox (badness 10000) in paragraph at lines 36045--36047 []\T1/pcr/b/n/10 random_state \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 int, np.random.Ra ndomState\T1/ptm/m/n/10 ) ^^U The ran-dom [361 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [362 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [363 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 36289--36291 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 36330--36332 []\T1/ptm/m/n/10 and [364] [365 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [366 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [367 <./inhe ritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [368 <./inheritance-5576 b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [369 <./inheritance-9d7aac3b6c2e0aed 0555fa923a3e3e94de4b6ce9.pdf>] [370 <./inheritance-c18ad8ab8f4940926b3f303c62cb 8aede2781316.pdf>] [371] [372] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 37200--37201 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 to \T1/pcr/ m/n/10 problem_types \T1/ptm/m/n/10 in \T1/pcr/m/n/10 RegressionObjective\T1/pt m/m/n/10 , Underfull \hbox (badness 7777) in paragraph at lines 37200--37201 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [373] Underfull \hbox (badness 10000) in paragraph at lines 37211--37212 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 37229--37230 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in Underfull \hbox (badness 10000) in paragraph at lines 37244--37245 []\T1/ptm/m/n/10 Added cv_folds to \T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/p tm/m/n/10 and added this check to [374] Underfull \hbox (badness 10000) in paragraph at lines 37407--37408 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [375] Underfull \hbox (badness 10000) in paragraph at lines 37493--37494 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [376] [377] Underfull \hbox (badness 10000) in paragraph at lines 37707--37710 [] [378] [379] [380] Underfull \hbox (badness 10000) in paragraph at lines 37929--37930 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 37956--37957 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and Underfull \hbox (badness 10000) in paragraph at lines 37959--37960 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 37983--37984 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. [381] Underfull \hbox (badness 10000) in paragraph at lines 38047--38048 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 38091--38092 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [382] Underfull \hbox (badness 10000) in paragraph at lines 38181--38182 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [383] Underfull \hbox (badness 10000) in paragraph at lines 38259--38260 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 38265--38266 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 38301--38302 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with [384] Underfull \hbox (badness 5374) in paragraph at lines 38317--38318 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to [385] Underfull \hbox (badness 10000) in paragraph at lines 38403--38404 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [386] [387] Underfull \hbox (badness 10000) in paragraph at lines 38640--38641 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. Overfull \hbox (32.69456pt too wide) in paragraph at lines 38646--38647 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [388] Underfull \hbox (badness 10000) in paragraph at lines 38780--38781 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. [389] Underfull \hbox (badness 10000) in paragraph at lines 38798--38799 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 38840--38841 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into Underfull \hbox (badness 10000) in paragraph at lines 38843--38844 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. [390] Underfull \hbox (badness 8113) in paragraph at lines 38914--38915 []\T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 no longer re-turns struc-ture of pipeline and has been re-placed by Underfull \hbox (badness 5787) in paragraph at lines 38920--38921 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 38938--38939 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [391] Underfull \hbox (badness 10000) in paragraph at lines 39099--39100 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [392] [393] [394] [395] (./feature-labs-inc-evalml.ind [396] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [397] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 BinaryClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 189--191 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 189--191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class [398] Underfull \hbox (badness 10000) in paragraph at lines 191--193 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 191--193 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 193--195 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 197--199 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 201--203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 203--205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 215--217 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 215--217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 217--219 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 219--221 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 219--221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 227--229 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 231--233 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 235--237 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 235--237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 237--239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 239--241 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 243--245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 245--247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 249--251 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 249--251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 251--253 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 251--253 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 253--255 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 257--259 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 259--261 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [399] Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 267--269 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\T1/pcr/m/n/10 ClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 278--279 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 285--287 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (8.02017pt too wide) in paragraph at lines 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineClassifier Overfull \hbox (9.46036pt too wide) in paragraph at lines 291--293 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineRegressor Overfull \hbox (10.81021pt too wide) in paragraph at lines 293--295 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostClassifier Overfull \hbox (12.2504pt too wide) in paragraph at lines 295--297 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostRegressor Overfull \hbox (0.79085pt too wide) in paragraph at lines 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ComponentBase Overfull \hbox (15.60025pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 303--305 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 305--307 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropColumns Overfull \hbox (8.69058pt too wide) in paragraph at lines 307--309 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropNullColumns Overfull \hbox (15.24988pt too wide) in paragraph at lines 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetClassifier Overfull \hbox (16.69006pt too wide) in paragraph at lines 311--313 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 313--314 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Estimator Overfull \hbox (16.9501pt too wide) in paragraph at lines 314--316 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesClassifier Overfull \hbox (18.39029pt too wide) in paragraph at lines 316--318 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 318--319 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 319--321 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (1.69048pt too wide) in paragraph at lines 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LinearRegressor Overfull \hbox (49.3796pt too wide) in paragraph at lines 323--325 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LogisticRegressionClassifier Overfull \hbox (0.78084pt too wide) in paragraph at lines 325--327 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.OneHotEncoder Overfull \hbox (12.21062pt too wide) in paragraph at lines 327--329 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.PerColumnImputer Overfull \hbox (31.60023pt too wide) in paragraph at lines 329--331 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestClassifier Overfull \hbox (33.04042pt too wide) in paragraph at lines 331--333 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestRegressor Overfull \hbox (56.44995pt too wide) in paragraph at lines 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFClassifierSelectFromModel Overfull \hbox (57.89014pt too wide) in paragraph at lines 335--337 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Transformer Overfull \hbox (9.69035pt too wide) in paragraph at lines 351--353 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostClassifier Overfull \hbox (11.13054pt too wide) in paragraph at lines 353--355 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor Overfull \hbox (19.18016pt too wide) in paragraph at lines 355--357 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 357--359 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 361--363 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [400] Overfull \hbox (27.96046pt too wide) in paragraph at lines 365--367 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 367--369 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 369--371 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 371--373 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 373--375 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 377--378 []\T1/pcr/m/n/10 ComponentBase \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 416--418 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 432--434 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 434--435 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10 DataCheckMessageType \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 DateTimeFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [401] Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 457--458 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [402] Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 545--547 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 545--547 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 552--554 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 554--556 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 572--574 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 574--576 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 576--578 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 578--580 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 580--582 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 582--584 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 588--589 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 589--591 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 593--595 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 597--599 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (49.60023pt too wide) in paragraph at lines 599--601 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (74.44995pt too wide) in paragraph at lines 603--605 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 605--607 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (12.68059pt too wide) in paragraph at lines 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [403] Overfull \hbox (10.81046pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 631--633 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 634--635 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 635--636 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 635--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 641--642 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 650--652 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 652--654 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 654--656 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 668--669 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 690--692 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 692--693 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 695--697 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 697--699 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 699--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 702--704 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 705--707 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 707--709 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier Underfull \hbox (badness 10000) in paragraph at lines 711--713 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [404] Overfull \hbox (19.60023pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 719--721 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 721--723 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 729--731 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 731--733 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 740--742 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 746--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 749--750 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 750--752 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (39.46088pt too wide) in paragraph at lines 752--754 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 754--756 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 756--758 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 758--760 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 760--762 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 766--768 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 768--770 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 770--772 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (40.81046pt too wide) in paragraph at lines 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TextFeaturizer Overfull \hbox (33.10078pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 788--790 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 790--792 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 792--794 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 794--796 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 796--798 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 798--800 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 800--802 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 802--804 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 805--807 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 809--810 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel [405] Overfull \hbox (81.89014pt too wide) in paragraph at lines 818--820 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 836--838 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 838--840 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 840--842 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 842--844 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 graph_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 graph_roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 handle_model_family() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 handle_problem_types() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 888--889 []\T1/pcr/m/n/10 HighlyNullDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 889--891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 891--893 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 891--893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 893--895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 895--897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [406] Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 915--917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 917--919 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 917--919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 921--923 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 921--923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 923--925 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 923--925 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 925--927 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 927--929 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 929--931 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 929--931 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 931--933 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 931--933 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 933--935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 935--937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 937--939 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 937--939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 939--941 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 939--941 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 941--943 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 943--945 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 943--945 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 945--947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 947--949 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 947--949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 949--951 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 949--951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 951--953 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 953--955 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 959--961 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 961--963 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 969--970 []\T1/pcr/m/n/10 InvalidTargetDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 970--972 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 972--974 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 972--974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 974--976 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 980--982 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 982--984 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [407] Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 984--986 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 986--988 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 986--988 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 988--990 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 988--990 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 994--996 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 996--998 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 996--998 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 998--1000 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1000--1002 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1004--1006 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1006--1008 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1010--1012 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1012--1014 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1016--1018 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1018--1020 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1018--1020 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1020--1022 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1022--1024 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1024--1026 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1026--1028 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1028--1030 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1030--1032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1032--1034 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1034--1036 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1036--1038 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1038--1040 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1040--1042 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1042--1044 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1044--1046 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1046--1048 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1048--1050 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1050--1052 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.GridSearchTuner method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1052--1054 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSearchTuner method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1054--1056 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1056--1058 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1058--1060 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [408] Underfull \hbox (badness 10000) in paragraph at lines 1064--1066 []\T1/pcr/m/n/10 LightGBMClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1066--1067 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1070--1072 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1078--1080 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1080--1082 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1082--1084 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1084--1086 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1090--1092 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1092--1094 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1094--1096 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1096--1098 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1098--1100 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1100--1102 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox (10.9501pt too wide) in paragraph at lines 1104--1106 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1106--1108 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1108--1110 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Imputer static Overfull \hbox (10.36026pt too wide) in paragraph at lines 1110--1112 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1114--1116 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1120--1122 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1134--1136 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1136--1138 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1138--1140 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1140--1142 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1142--1144 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1144--1146 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1146--1148 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1152--1154 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1155--1157 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static [409] Underfull \hbox (badness 10000) in paragraph at lines 1163--1165 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 MeanBaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (7.52121pt too wide) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckMessage Overfull \hbox (6.81137pt too wide) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10 message_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_check s.DataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 1187--1188 []\T1/pcr/m/n/10 ModeBaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1188--1190 []\T1/pcr/m/n/10 ModeBaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (9.96046pt too wide) in paragraph at lines 1190--1192 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1192--1194 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1194--1196 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (38.02017pt too wide) in paragraph at lines 1196--1198 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineClassifier Overfull \hbox (39.46036pt too wide) in paragraph at lines 1198--1200 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor Overfull \hbox (40.81021pt too wide) in paragraph at lines 1200--1202 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostClassifier Overfull \hbox (42.2504pt too wide) in paragraph at lines 1202--1204 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.CatBoostRegressor Overfull \hbox (45.60025pt too wide) in paragraph at lines 1204--1206 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1206--1208 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1208--1210 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1210--1212 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropColumns Overfull \hbox (38.69058pt too wide) in paragraph at lines 1212--1214 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DropNullColumns Overfull \hbox (45.24988pt too wide) in paragraph at lines 1214--1216 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetClassifier Overfull \hbox (46.69006pt too wide) in paragraph at lines 1216--1218 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ElasticNetRegressor Overfull \hbox (46.9501pt too wide) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesClassifier Overfull \hbox (48.39029pt too wide) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.ExtraTreesRegressor Overfull \hbox (46.36026pt too wide) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LightGBMClassifier Overfull \hbox (31.69048pt too wide) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LinearRegressor Overfull \hbox (79.3796pt too wide) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.LogisticRegressionClassifier Overfull \hbox (30.78084pt too wide) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Overfull \hbox (42.21062pt too wide) in paragraph at lines 1232--1234 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.PerColumnImputer Overfull \hbox (61.60023pt too wide) in paragraph at lines 1234--1236 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestClassifier Overfull \hbox (63.04042pt too wide) in paragraph at lines 1236--1238 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RandomForestRegressor Overfull \hbox (86.44995pt too wide) in paragraph at lines 1238--1240 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFClassifierSelectFromModel Overfull \hbox (87.89014pt too wide) in paragraph at lines 1240--1242 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.RFRegressorSelectFromModel Overfull \hbox (24.68059pt too wide) in paragraph at lines 1242--1244 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SelectColumns Overfull \hbox (24.12065pt too wide) in paragraph at lines 1244--1246 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1248--1250 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (22.81046pt too wide) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TextFeaturizer Overfull \hbox (39.69035pt too wide) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostClassifier Overfull \hbox (41.13054pt too wide) in paragraph at lines 1256--1258 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.XGBoostRegressor Overfull \hbox (49.18016pt too wide) in paragraph at lines 1258--1260 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1260--1262 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1262--1264 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Underfull \hbox (badness 6542) in paragraph at lines 1266--1268 []\T1/pcr/m/n/10 MulticlassClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class [410] Underfull \hbox (badness 10000) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Highly NullDataCheck at- Underfull \hbox (badness 10000) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.NoVari anceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1286--1288 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseline BinaryPipeline at- Underfull \hbox (badness 10000) in paragraph at lines 1296--1298 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1306--1308 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1308--1310 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1310--1312 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropColumns at- Underfull \hbox (badness 10000) in paragraph at lines 1312--1314 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1327--1329 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.LogisticRegressionClassifier Overfull \hbox (13.60023pt too wide) in paragraph at lines 1333--1335 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestClassifier Overfull \hbox (15.04042pt too wide) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RandomForestRegressor Overfull \hbox (38.44995pt too wide) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFClassifierSelectFromModel Overfull \hbox (39.89014pt too wide) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1345--1347 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1347--1349 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1353--1355 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostClassifier Underfull \hbox (badness 7291) in paragraph at lines 1355--1357 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.XGBoostRegressor Overfull \hbox (1.18016pt too wide) in paragraph at lines 1357--1359 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1366--1367 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1367--1369 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 1369--1371 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm [411] Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1373--1374 []\T1/pcr/m/n/10 NoVarianceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1374--1375 []\T1/pcr/m/n/10 number_of_features() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1382--1383 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1383--1385 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1385--1387 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1387--1389 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1389--1391 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1391--1393 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1391--1393 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1393--1395 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1393--1395 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1395--1397 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1397--1399 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1399--1400 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1402--1404 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1404--1406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Weighted method\T1/ptm/m/n/ 10 ), Underfull \hbox (badness 10000) in paragraph at lines 1406--1408 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1408--1410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1410--1412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1412--1414 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1414--1415 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1415--1417 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1417--1419 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1419--1421 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1421--1423 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1423--1425 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1425--1426 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1426--1428 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1426--1428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1428--1430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1430--1432 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1432--1434 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1434--1436 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1436--1438 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1438--1439 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.R2 Underfull \hbox (badness 10000) in paragraph at lines 1439--1440 []\T1/pcr/m/n/10 objective_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1440--1442 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1442--1444 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMicro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1446--1448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [412] Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1448--1450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1450--1452 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1453--1454 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1456--1457 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1457--1459 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1459--1461 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1459--1461 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1461--1463 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1463--1464 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1472--1474 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1474--1475 []\T1/pcr/m/n/10 optimize_threshold() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.ob jectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1479--1480 []\T1/pcr/m/n/10 PerColumnImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1482--1484 []\T1/pcr/m/n/10 precision_recall_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1487--1489 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineBinaryPipeline Overfull \hbox (6.41pt too wide) in paragraph at lines 1489--1491 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineMulticlassPipeline Overfull \hbox (8.41026pt too wide) in paragraph at lines 1491--1493 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bas elineRegressionPipeline Overfull \hbox (12.53014pt too wide) in paragraph at lines 1493--1495 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bin aryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1495--1497 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cla ssificationPipeline Overfull \hbox (20.02017pt too wide) in paragraph at lines 1497--1499 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier Overfull \hbox (21.46036pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineRegressor Overfull \hbox (22.81021pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostClassifier Overfull \hbox (24.2504pt too wide) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 1507--1509 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1509--1511 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetClassifier Overfull \hbox (28.69006pt too wide) in paragraph at lines 1511--1513 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1513--1515 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.Estimator Overfull \hbox (28.9501pt too wide) in paragraph at lines 1515--1517 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesClassifier Overfull \hbox (30.39029pt too wide) in paragraph at lines 1517--1519 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.ExtraTreesRegressor Overfull \hbox (28.36026pt too wide) in paragraph at lines 1519--1521 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LightGBMClassifier Overfull \hbox (13.69048pt too wide) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LinearRegressor Overfull \hbox (61.3796pt too wide) in paragraph at lines 1523--1525 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.LogisticRegressionClassifier Overfull \hbox (43.60023pt too wide) in paragraph at lines 1525--1527 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestClassifier Overfull \hbox (45.04042pt too wide) in paragraph at lines 1527--1529 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1533--1535 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostClassifier Overfull \hbox (23.13054pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.XGBoostRegressor Overfull \hbox (31.18016pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mea nBaselineRegressionPipeline Overfull \hbox (14.73036pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineBinaryPipeline [413] Overfull \hbox (29.1799pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineMulticlassPipeline Overfull \hbox (26.97968pt too wide) in paragraph at lines 1543--1545 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 5802) in paragraph at lines 1545--1546 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Pip elineBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1546--1547 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1547--1549 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 1549--1551 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 1551--1553 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 1553--1555 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (56.02017pt too wide) in paragraph at lines 1555--1557 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineClassifier Overfull \hbox (57.46036pt too wide) in paragraph at lines 1557--1559 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.BaselineRegressor Overfull \hbox (58.81021pt too wide) in paragraph at lines 1559--1561 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostClassifier Overfull \hbox (60.2504pt too wide) in paragraph at lines 1561--1563 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1563--1565 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 1565--1567 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1567--1569 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetClassifier Overfull \hbox (64.69006pt too wide) in paragraph at lines 1569--1571 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ElasticNetRegressor Overfull \hbox (22.69072pt too wide) in paragraph at lines 1571--1573 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Estimator Overfull \hbox (64.9501pt too wide) in paragraph at lines 1573--1575 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesClassifier Overfull \hbox (66.39029pt too wide) in paragraph at lines 1575--1577 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.ExtraTreesRegressor Overfull \hbox (64.36026pt too wide) in paragraph at lines 1577--1579 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LightGBMClassifier Overfull \hbox (49.69048pt too wide) in paragraph at lines 1579--1581 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LinearRegressor Overfull \hbox (97.3796pt too wide) in paragraph at lines 1581--1583 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.LogisticRegressionClassifier Overfull \hbox (79.60023pt too wide) in paragraph at lines 1583--1585 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestClassifier Overfull \hbox (81.04042pt too wide) in paragraph at lines 1585--1587 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 1587--1589 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1589--1591 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1591--1593 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostClassifier Overfull \hbox (59.13054pt too wide) in paragraph at lines 1593--1595 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.XGBoostRegressor Overfull \hbox (50.73036pt too wide) in paragraph at lines 1595--1597 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 1597--1599 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 1599--1601 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1601--1603 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineBinaryPipeline Overfull \hbox (24.41pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineMulticlassPipeline Overfull \hbox (26.41026pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (30.53014pt too wide) in paragraph at lines 1607--1609 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BinaryClassificationPipeline Overfull \hbox (3.31042pt too wide) in paragraph at lines 1609--1611 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ClassificationPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1611--1613 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline Overfull \hbox (32.73036pt too wide) in paragraph at lines 1613--1615 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineBinaryPipeline Overfull \hbox (47.1799pt too wide) in paragraph at lines 1615--1617 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (44.97968pt too wide) in paragraph at lines 1617--1619 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1619--1620 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. PipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 1620--1622 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1624--1625 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner Underfull \hbox (badness 10000) in paragraph at lines 1631--1633 []\T1/pcr/m/n/10 RandomForestClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1633--1635 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [414] Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 RFClassifierSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 []\T1/pcr/m/n/10 RFRegressorSelectFromModel \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1646--1647 []\T1/pcr/m/n/10 roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1647--1648 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1648--1649 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1653--1654 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 1654--1656 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1656--1658 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1660--1661 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Classi ficationPipeline Overfull \hbox (2.02017pt too wide) in paragraph at lines 1661--1663 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineClassifier Overfull \hbox (3.46036pt too wide) in paragraph at lines 1663--1665 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.BaselineRegressor Overfull \hbox (4.81021pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostClassifier Overfull \hbox (6.2504pt too wide) in paragraph at lines 1667--1669 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1671--1673 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1673--1675 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1675--1677 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1677--1678 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropColumns Overfull \hbox (2.69058pt too wide) in paragraph at lines 1678--1680 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DropNullColumns Overfull \hbox (9.24988pt too wide) in paragraph at lines 1680--1682 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetClassifier Overfull \hbox (10.69006pt too wide) in paragraph at lines 1682--1684 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1684--1685 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Estimator Overfull \hbox (10.9501pt too wide) in paragraph at lines 1685--1687 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesClassifier Overfull \hbox (12.39029pt too wide) in paragraph at lines 1687--1689 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ExtraTreesRegressor Overfull \hbox (10.36026pt too wide) in paragraph at lines 1690--1692 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LightGBMClassifier Overfull \hbox (43.3796pt too wide) in paragraph at lines 1694--1696 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.LogisticRegressionClassifier Overfull \hbox (6.21062pt too wide) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.PerColumnImputer Overfull \hbox (25.60023pt too wide) in paragraph at lines 1700--1702 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestClassifier Overfull \hbox (27.04042pt too wide) in paragraph at lines 1702--1704 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RandomForestRegressor Overfull \hbox (50.44995pt too wide) in paragraph at lines 1704--1706 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFClassifierSelectFromModel Overfull \hbox (51.89014pt too wide) in paragraph at lines 1706--1708 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1712--1714 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1716--1718 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.Transformer Overfull \hbox (3.69035pt too wide) in paragraph at lines 1721--1723 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostClassifier Overfull \hbox (5.13054pt too wide) in paragraph at lines 1723--1725 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.XGBoostRegressor Overfull \hbox (13.18016pt too wide) in paragraph at lines 1725--1727 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline Overfull \hbox (11.1799pt too wide) in paragraph at lines 1729--1731 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBa selineMulticlassPipeline Overfull \hbox (8.97968pt too wide) in paragraph at lines 1731--1733 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Accu racyMulticlass [415] Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyBinary Overfull \hbox (5.9003pt too wide) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass Overfull \hbox (9.39989pt too wide) in paragraph at lines 1745--1747 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1755--1756 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossBinary method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1756--1757 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1761--1762 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mean SquaredLogError Overfull \hbox (23.84943pt too wide) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Mult iclassClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1766--1767 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Obje ctiveBase method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1770--1771 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Prec isionWeighted Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Regr essionObjective Underfull \hbox (badness 10000) in paragraph at lines 1777--1778 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredError Overfull \hbox (1.26079pt too wide) in paragraph at lines 1778--1780 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Root MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1780--1782 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1788--1790 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 1790--1792 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1792--1794 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1794--1796 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 1796--1798 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1801--1802 []\T1/pcr/m/n/10 SelectColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 []\T1/pcr/m/n/10 SimpleImputer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1805--1807 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1807--1809 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1809--1810 []\T1/pcr/m/n/10 StandardScaler \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (19.18016pt too wide) in paragraph at lines 1816--1818 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 1818--1820 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 1820--1822 []\T1/pcr/m/n/10 summary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1822--1824 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1822--1824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1824--1826 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1824--1826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1826--1828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier [416] Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1830--1832 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1830--1832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1832--1834 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1832--1834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1834--1836 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1834--1836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1836--1838 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1836--1838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1838--1840 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1838--1840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1840--1842 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1840--1842 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1842--1844 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1842--1844 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1846--1848 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1846--1848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1848--1850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1850--1852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1852--1854 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1852--1854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1854--1856 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1854--1856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1856--1858 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1856--1858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1858--1860 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1858--1860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1863--1864 []\T1/pcr/m/n/10 target_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1864--1865 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1865--1866 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (39.60025pt too wide) in paragraph at lines 1866--1868 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropColumns Overfull \hbox (32.69058pt too wide) in paragraph at lines 1870--1872 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 1872--1874 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Imputer Overfull \hbox (24.78084pt too wide) in paragraph at lines 1874--1876 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.OneHotEncoder Overfull \hbox (36.21062pt too wide) in paragraph at lines 1876--1878 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.PerColumnImputer Overfull \hbox (80.44995pt too wide) in paragraph at lines 1878--1880 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 1880--1882 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Overfull \hbox (18.68059pt too wide) in paragraph at lines 1882--1884 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SelectColumns Overfull \hbox (18.12065pt too wide) in paragraph at lines 1884--1886 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.SimpleImputer Overfull \hbox (21.09074pt too wide) in paragraph at lines 1886--1888 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (16.81046pt too wide) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TextFeaturizer Overfull \hbox (9.10078pt too wide) in paragraph at lines 1890--1892 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1900--1901 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 1903--1905 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 1905--1907 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 1907--1909 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1909--1911 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 1911--1913 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 1913--1915 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck [417] Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1915--1917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1917--1919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1919--1920 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUC Underfull \hbox (badness 10000) in paragraph at lines 1921--1922 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1926--1928 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1926--1928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1928--1930 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1928--1930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1930--1932 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1935--1936 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Macro Underfull \hbox (badness 10000) in paragraph at lines 1936--1937 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.F1Micro Underfull \hbox (badness 10000) in paragraph at lines 1939--1940 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.FraudCost Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1944--1946 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1946--1947 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MAE Underfull \hbox (badness 10000) in paragraph at lines 1947--1948 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MaxError Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1949--1951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1951--1953 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1953--1954 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MedianAE Underfull \hbox (badness 10000) in paragraph at lines 1954--1955 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.MSE Underfull \hbox (badness 10000) in paragraph at lines 1955--1957 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1955--1957 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1957--1959 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1959--1960 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Precision Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1960--1962 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1967--1968 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.Recall Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1968--1970 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1972--1974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1974--1976 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1976--1978 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1978--1980 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1983--1985 []\T1/pcr/m/n/10 XGBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1985--1986 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [418] [419]) (./feature-labs-inc-evalml.aux) LaTeX Warning: There were multiply-defined labels. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on feature-labs-inc-evalml.pdf (423 pages, 1915189 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Collected error summary (may duplicate other messages): pdflatex: Command for 'pdflatex' gave return code 256 Latexmk: Errors, in force_mode: so I tried finishing targets [rtd-command-info] start-time: 2020-11-07T00:42:17.268365Z, end-time: 2020-11-07T00:42:17.369036Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/latest/sphinx_pdf/feature-labs-inc-evalml.pdf