Read the Docs build information Build id: 488898 Project: feature-labs-inc-evalml Version: stable Commit: b8b594faf7f7ecf968e2d6d14d24409a83610bc3 Date: 2020-11-24T22:12:14.475736Z State: finished Success: True [rtd-command-info] start-time: 2020-11-25T00:29:18.241373Z, end-time: 2020-11-25T00:29:20.403825Z, 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: 2020-11-25T00:29:20.782490Z, end-time: 2020-11-25T00:29:21.002349Z, duration: 0, exit-code: 0 git checkout --force b8b594faf7f7ecf968e2d6d14d24409a83610bc3 Note: checking out 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3'. 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 b8b594fa Release v0.16.0 (#1468) [rtd-command-info] start-time: 2020-11-25T00:29:21.322354Z, end-time: 2020-11-25T00:29:21.408886Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-25T00:29:22.698008Z, end-time: 2020-11-25T00:29:28.973278Z, 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/stable/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-25T00:29:29.375780Z, end-time: 2020-11-25T00:29:30.462028Z, 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/stable/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-25T00:29:30.594839Z, end-time: 2020-11-25T00:29:43.871349Z, 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 six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting requests>=2.0.0 Downloading requests-2.25.0-py2.py3-none-any.whl (61 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.9.0-py2.py3-none-any.whl (8.8 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 sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 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 certifi>=2017.4.17 Downloading certifi-2020.11.8-py2.py3-none-any.whl (155 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 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) 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=c0cfbd1eb47a773e81a1ccac4fa1ab2e346153870f3cbbc46e4a418c0def9e63 Stored in directory: /tmp/pip-ephem-wheel-cache-25jgdqgh/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=133008efc517e2783e15d93034ecc8dc7219f68993b9713f89c55795fa631897 Stored in directory: /tmp/pip-ephem-wheel-cache-25jgdqgh/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, six, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, snowballstemmer, MarkupSafe, Jinja2, idna, certifi, chardet, urllib3, requests, imagesize, pytz, babel, pyparsing, packaging, Pygments, 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-2.9.0 certifi-2020.11.8 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-2.25.0 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 urllib3-1.26.2 [rtd-command-info] start-time: 2020-11-25T00:29:44.029322Z, end-time: 2020-11-25T00:31:24.943003Z, 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/stable 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-0.0.5-py3-none-any.whl (63 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-4.13.0-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-0.24.3-cp37-none-manylinux1_x86_64.whl (66.1 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.1.0-py2.py3-none-manylinux1_x86_64.whl (1.8 MB) Collecting graphviz>=0.13 Downloading graphviz-0.15-py2.py3-none-any.whl (18 kB) Collecting category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 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/stable/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.16.0) (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-4.53.0-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 pyarrow>=2.0.0 Downloading pyarrow-2.0.0-cp37-cp37m-manylinux2014_x86_64.whl (17.7 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) 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/stable/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.16.0) (1.15.0) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 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 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-3.3.3-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.1-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) 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 toolz>=0.8.2 Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Collecting tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 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-2020.11.13-cp37-cp37m-manylinux2014_x86_64.whl (719 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyter-core Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 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 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 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/stable/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.16.0) (2.7.2) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) 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) 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/stable/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.16.0) (2.4.7) 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-20.0.0-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-3.1.0-py2.py3-none-any.whl (9.3 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 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-0.9.0-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 nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.0) (2.11.2) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.4-cp37-cp37m-manylinux1_x86_64.whl (402 kB) 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 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 entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 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 bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.0) (1.1.1) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.0) (20.4) 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-0.16.0-py3-none-any.whl size=6022168 sha256=6f0ce24d3e92005266d486c844b0c247296f08e66d100b8fe64f2e15538f3c19 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/wheels/c9/77/0c/bbfbe099fd399de779254d33d3bd3e7e52f9a6845b4080e694 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=285323 sha256=2719fb4d70722ef9200e33399b7783ec6f3bad584e73bd65c812c48ac48a2f88 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=d9b37f11016317ba7a86ec8ef53dd767912dd8c1642981c94b70ce792932f53c Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=468593 sha256=43deebb5fdc510d40a34852e06dc0c32a1af41ea4b0fe81acb6e315f1e26f009 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=55c9831180830919dbeaaf6f2f8b505219596d4b13361c9c01539c7deddcf6a3 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=1434675 sha256=e54596d9469faf7cb36462baad8f00ff255bd23c6fce7e01361156c27ef4fdd1 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=496c2601be7c6f9957b162e7edb0c04faf89423417b9fb98ca89f73bb964f358 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=8e411c4f0938091152c631c86ef08cd7d65befb3fe0d532d52201f7dd240bc65 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=115298 sha256=e7999dec139a9d2293fb97a66d950ac3e83a4703117464a9bea8f4e63ecc5db7 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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=ee999e39ab6b670d6d14f19b29ec6f131686c8e05cc46065f51462ce7695aa29 Stored in directory: /tmp/pip-ephem-wheel-cache-suzhrix8/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, pyarrow, woodwork, toolz, heapdict, zict, msgpack, sortedcontainers, tornado, locket, partd, fsspec, dask, tblib, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, ipython-genutils, traitlets, pyzmq, jupyter-core, jupyter-client, parso, jedi, decorator, wcwidth, prompt-toolkit, pickleshare, backcall, ptyprocess, pexpect, ipython, ipykernel, zipp, importlib-metadata, attrs, pyrsistent, jsonschema, nbformat, Send2Trash, terminado, prometheus-client, pycparser, cffi, argon2-cffi, testpath, nest-asyncio, async-generator, nbclient, defusedxml, pandocfilters, entrypoints, mistune, jupyterlab-pygments, webencodings, bleach, nbconvert, notebook, widgetsnbextension, ipywidgets, xgboost, kiwisolver, cycler, pillow, matplotlib, graphviz, catboost, lightgbm, patsy, statsmodels, category-encoders, 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-0.24.3 category-encoders-2.2.2 cffi-1.14.4 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-0.16.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.15 heapdict-1.0.1 importlib-metadata-3.1.0 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-4.7.0 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.1.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.3 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.3 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 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.13.0 prometheus-client-0.9.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pyarrow-2.0.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-20.0.0 regex-2020.11.13 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-2.3.0 statsmodels-0.12.1 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-4.53.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.5 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-25T00:31:25.190850Z, end-time: 2020-11-25T00:31:37.424974Z, 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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.5) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.13.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.3) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.1.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.15) Requirement already satisfied: category_encoders>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2.2.2) 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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.53.0) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: pyarrow>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from woodwork>=0.0.3->-r core-requirements.txt (line 13)) (2.0.0) Requirement already satisfied: distributed>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.3) Requirement already satisfied: statsmodels>=0.9.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from category_encoders>=2.0.0->-r requirements.txt (line 8)) (0.12.1) Requirement already satisfied: patsy>=0.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from category_encoders>=2.0.0->-r requirements.txt (line 8)) (0.5.1) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.3.0) 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/stable/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) 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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.25.0) Collecting mccabe<0.7.0,>=0.6.0 Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 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/stable/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) Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.9.0) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.7.0) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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: toolz>=0.8.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.3.0) Requirement already satisfied: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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: partd>=0.3.10; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.11.13) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) 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/stable/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/stable/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/stable/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.1.0) 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/stable/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (20.0.0) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2020.11.8) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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<1.27,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.26.2) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.0) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.4) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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=294c6a65c718bc021fadc526447b2f2dc08c929dfe6bfdfca864c49469b5e745 Stored in directory: /tmp/pip-ephem-wheel-cache-ajfbz2ms/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=5956a9af51277e82957d00f629a5f41abd14e6491f3b9909f31fb16325979ac3 Stored in directory: /tmp/pip-ephem-wheel-cache-ajfbz2ms/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: more-itertools, py, pluggy, atomicwrites, pytest, pytest-forked, apipkg, execnet, pytest-xdist, coverage, pytest-cov, nbval, codecov, mccabe, pycodestyle, pyflakes, flake8, autopep8, isort, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-qthelp, sphinxcontrib-applehelp, 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: 2020-11-25T00:32:01.191778Z, end-time: 2020-11-25T00:32:01.310853Z, 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': "stable", 'version_slug': "stable", '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': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', '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': 'b8b594fa', } 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: 2020-11-25T00:32:01.191778Z, end-time: 2020-11-25T00:32:01.310853Z, 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': "stable", 'version_slug': "stable", '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': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', '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': 'b8b594fa', } 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: 2020-11-25T00:32:01.191778Z, end-time: 2020-11-25T00:32:01.310853Z, 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': "stable", 'version_slug': "stable", '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': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', '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': 'b8b594fa', } 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: 2020-11-25T00:32:01.191778Z, end-time: 2020-11-25T00:32:01.310853Z, 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': "stable", 'version_slug': "stable", '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': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', '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': 'b8b594fa', } 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: 2020-11-25T00:47:10.674218Z, end-time: 2020-11-25T00:47:12.294750Z, duration: 1, 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: 2020-11-25T00:47:12.734969Z, end-time: 2020-11-25T00:47:12.866950Z, duration: 0, exit-code: 0 git checkout --force b8b594faf7f7ecf968e2d6d14d24409a83610bc3 Note: checking out 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3'. 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 b8b594fa Release v0.16.0 (#1468) [rtd-command-info] start-time: 2020-11-25T00:47:13.124420Z, end-time: 2020-11-25T00:47:13.177972Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-25T00:47:14.548796Z, end-time: 2020-11-25T00:47:18.830873Z, duration: 4, 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/stable/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-25T00:47:19.147773Z, end-time: 2020-11-25T00:47:19.850040Z, duration: 0, 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/stable/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-25T00:47:20.044840Z, end-time: 2020-11-25T00:47:28.551633Z, duration: 8, 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 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-2.9.0-py2.py3-none-any.whl (8.8 MB) 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 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 requests>=2.0.0 Downloading requests-2.25.0-py2.py3-none-any.whl (61 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 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 MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.2-py2.py3-none-any.whl (136 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.11.8-py2.py3-none-any.whl (155 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=5a4bc2ae979396c07799f6d3b2dc523bda549528df911a159fd522b114152a3e Stored in directory: /tmp/pip-ephem-wheel-cache-61sw8r5j/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=d79d5bf38f2956d43204535a1b9a03a6e9563848ceb247bc6f605d877a447f06 Stored in directory: /tmp/pip-ephem-wheel-cache-61sw8r5j/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, six, pyparsing, packaging, pytz, babel, imagesize, snowballstemmer, Pygments, MarkupSafe, Jinja2, chardet, urllib3, idna, certifi, requests, 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-2.9.0 certifi-2020.11.8 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-2.25.0 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 urllib3-1.26.2 [rtd-command-info] start-time: 2020-11-25T00:47:28.744040Z, end-time: 2020-11-25T00:48:47.309570Z, duration: 78, 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/stable 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-0.0.5-py3-none-any.whl (63 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-4.13.0-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-0.24.3-cp37-none-manylinux1_x86_64.whl (66.1 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.1.0-py2.py3-none-manylinux1_x86_64.whl (1.8 MB) Collecting graphviz>=0.13 Downloading graphviz-0.15-py2.py3-none-any.whl (18 kB) Collecting category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 kB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.16.0) (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-4.53.0-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 pyarrow>=2.0.0 Downloading pyarrow-2.0.0-cp37-cp37m-manylinux2014_x86_64.whl (17.7 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/stable/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.16.0) (1.15.0) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 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 traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting matplotlib Downloading matplotlib-3.3.3-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.1-cp37-cp37m-manylinux1_x86_64.whl (9.5 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 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 tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 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 sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.3.0-py2.py3-none-any.whl (29 kB) Collecting regex Downloading regex-2020.11.13-cp37-cp37m-manylinux2014_x86_64.whl (719 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 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-4.7.0-py3-none-any.whl (82 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.5-py3-none-any.whl (9.5 MB) 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 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/stable/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.16.0) (2.7.2) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 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/stable/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.16.0) (2.4.7) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) 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 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 pyzmq>=13 Downloading pyzmq-20.0.0-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-3.1.0-py2.py3-none-any.whl (9.3 kB) Collecting attrs>=17.4.0 Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB) Collecting prometheus-client Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.0) (2.11.2) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 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 ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 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 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 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 bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.4-cp37-cp37m-manylinux1_x86_64.whl (402 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.0) (1.1.1) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.3-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/stable/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.16.0) (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-0.16.0-py3-none-any.whl size=6022168 sha256=d947276ee608c1ce0207eb334deba951f4291d4e51e49ecf18553cdc4f08bf04 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/wheels/c9/77/0c/bbfbe099fd399de779254d33d3bd3e7e52f9a6845b4080e694 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=285323 sha256=556c01c7199c895c15153225c896ad3584a50416234485d269165f7cfd121cbb Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=02330154a147dd747a378d520f611cda96fd214e9a9ab8bf4036960d7280e4ab Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=468597 sha256=da9b68d5c591f73538884591ec52009a7128bd25947351172ef98623e849f4cf Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=821a704a2731ea41b1a077bdd1b1815e37f4e945c1d36556d0a454cf55161133 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=ffa66e4169093d731fe21d67d9eb9dba35a47cbfc9b36f5195c9c1ead56c2f45 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=acbb652fdf71e1ce157bb256ad3101a0dc9286c7ce4d3a07c9c6ec5ef8f5bf56 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=a3b51aace99e4e89cb2e171b26d58386810ab9fc028f0729f8d5040ff031f3f2 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=115294 sha256=27785cab4d3d5ae53b09a12986a3ee27596f9c46fa1cf633f0b0f106a23c94e2 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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=3a7828df7a1ac5c091e652563d079212c079130e818bc9862d0a3850fad45af4 Stored in directory: /tmp/pip-ephem-wheel-cache-s7dhryzi/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, pyarrow, woodwork, fsspec, toolz, locket, partd, dask, tornado, heapdict, zict, tblib, msgpack, sortedcontainers, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, pickleshare, ipython-genutils, traitlets, wcwidth, prompt-toolkit, parso, jedi, ptyprocess, pexpect, backcall, decorator, ipython, jupyter-core, pyzmq, jupyter-client, ipykernel, pyrsistent, zipp, importlib-metadata, attrs, jsonschema, nbformat, prometheus-client, pandocfilters, mistune, entrypoints, testpath, async-generator, nest-asyncio, nbclient, defusedxml, jupyterlab-pygments, webencodings, bleach, nbconvert, Send2Trash, pycparser, cffi, argon2-cffi, terminado, notebook, widgetsnbextension, ipywidgets, xgboost, graphviz, kiwisolver, cycler, pillow, matplotlib, catboost, lightgbm, patsy, statsmodels, category-encoders, 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-0.24.3 category-encoders-2.2.2 cffi-1.14.4 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-0.16.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.15 heapdict-1.0.1 importlib-metadata-3.1.0 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-4.7.0 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.1.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.3 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.3 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 patsy-0.5.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.13.0 prometheus-client-0.9.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pyarrow-2.0.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-20.0.0 regex-2020.11.13 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-2.3.0 statsmodels-0.12.1 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-4.53.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.5 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-25T00:48:47.544374Z, end-time: 2020-11-25T00:48:56.217506Z, duration: 8, 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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.5) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.13.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.3) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.1.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.15) Requirement already satisfied: category_encoders>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2.2.2) 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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: slicer==0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.3) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.53.0) Requirement already satisfied: pyarrow>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from woodwork>=0.0.3->-r core-requirements.txt (line 13)) (2.0.0) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.3) Requirement already satisfied: patsy>=0.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from category_encoders>=2.0.0->-r requirements.txt (line 8)) (0.5.1) Requirement already satisfied: statsmodels>=0.9.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from category_encoders>=2.0.0->-r requirements.txt (line 8)) (0.12.1) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 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/stable/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/stable/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.3.0) 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/stable/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.2) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.25.0) 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: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.9.0) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) 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/stable/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/stable/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.7.0) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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: toolz>=0.8.2; extra == "dataframe" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: msgpack>=0.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: tblib>=1.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.3.0) Requirement already satisfied: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: regex in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.11.13) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.2.0) Requirement already satisfied: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) 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/stable/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/stable/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/stable/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.1.0) 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/stable/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (20.0.0) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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: certifi>=2017.4.17 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2020.11.8) Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.26.2) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.0) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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/stable/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/stable/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/stable/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/stable/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.4) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/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=2249e0d0c7feb8cea1c29de75933ad239c350d2a4aac000929ae681a2f2cc28d Stored in directory: /tmp/pip-ephem-wheel-cache-6bq03e8j/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=31c661c2e7b64a50e02cc3ce62c0b6865ebed68ddae7c618d38f474fd798983b Stored in directory: /tmp/pip-ephem-wheel-cache-6bq03e8j/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: atomicwrites, pluggy, py, more-itertools, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, pycodestyle, mccabe, pyflakes, flake8, autopep8, isort, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, 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: 2020-11-25T00:49:21.571632Z, end-time: 2020-11-25T00:49:21.644763Z, 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': "stable", 'version_slug': "stable", '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': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'b8b594faf7f7ecf968e2d6d14d24409a83610bc3', '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': 'b8b594fa', } 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: 2020-11-25T00:49:22.060579Z, end-time: 2020-11-25T01:07:32.346487Z, duration: 1090, exit-code: 0 python sphinx-build -T -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/stable/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.callbacks.log_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.callbacks.log_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.callbacks.raise_and_save_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.callbacks.raise_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.callbacks.silent_error_callback.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.utils.drop_rows_with_nans.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.utils.import_or_raise.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/evalml.utils.pad_with_nans.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/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: 911 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_245_31be22d426ed4e7f8628d86afe00b664_7e87dbce8ab1407abf24fa0a4a23e5ec/245-140194131695888-8c9797b91fa9428c8d50813f0d536e9b.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_245_31be22d426ed4e7f8628d86afe00b664_a47976a79d8e46579e1ff06fa9f22835/245-140194131695888-debe3fa3b19041208123cb83078997eb.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_245_31be22d426ed4e7f8628d86afe00b664_b766b84af377441692ee944adb7cb617/245-140194131695888-496440d1e60443aab0b1ba0231b85625.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_245_31be22d426ed4e7f8628d86afe00b664_db2f3660915c43aeaa42c92acbaa13ef/245-140194131695888-25cf11fe370f4700804c10266a106823.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_245_31be22d426ed4e7f8628d86afe00b664_389c83c772df4b7fa743487b1d999e55/245-140194131695888-820c3b69b0eb46bd89822215a858f827.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_245_31be22d426ed4e7f8628d86afe00b664_4d7972d3888143cf8e1bdcd5f6b41f69/245-140194131695888-8640e6acbbbe4004af49ec5ca3ee7bfb.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) 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... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.log_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback 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... [ 2%] generated/evalml.data_checks.DataCheckMessageCode reading sources... [ 2%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 2%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 2%] generated/evalml.data_checks.DataChecks reading sources... [ 2%] 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... [ 3%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 3%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 3%] generated/evalml.demos.load_breast_cancer reading sources... [ 3%] generated/evalml.demos.load_churn reading sources... [ 3%] 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... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] 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... [ 5%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 5%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 5%] 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... [ 6%] generated/evalml.objectives.AUCWeighted reading sources... [ 6%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] 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... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 7%] 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... [ 8%] generated/evalml.objectives.MCCMulticlass reading sources... [ 8%] generated/evalml.objectives.MSE reading sources... [ 8%] 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... [ 9%] generated/evalml.objectives.PrecisionMicro reading sources... [ 9%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 9%] 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... [ 10%] 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... [ 11%] 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.TimeSeriesRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 12%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 12%] 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.DelayedFeatureTransformer reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 13%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] 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... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] 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... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TargetEncoder 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... [ 16%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 16%] 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... [ 17%] generated/evalml.preprocessing.target_distribution reading sources... [ 17%] 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... [ 18%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 18%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/evalml.utils.pad_with_nans 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] 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... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 20%] 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.DataCheckError.to_dict 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... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict 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... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] 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... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 23%] 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... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 24%] 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... [ 25%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 25%] 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... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] 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... [ 34%] 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... [ 35%] 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... [ 36%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] 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... [ 39%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] 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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 40%] 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... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] 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... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] 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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 43%] 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... [ 44%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] 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... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] 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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] 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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] 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... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 68%] 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... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 69%] 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... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 70%] 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... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform 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... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 73%] 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... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 74%] 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... [ 75%] 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... [ 76%] 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... [ 77%] 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... [ 78%] 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... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 81%] 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... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 84%] 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... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 85%] 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... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 86%] 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... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 87%] 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... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 91%] 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.TargetEncoder.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.transform reading sources... [ 93%] 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... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 95%] 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... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 96%] 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... [ 97%] 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... [ 98%] 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... [ 99%] 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... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.log_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.raise_error_callback writing output... [ 1%] generated/evalml.automl.callbacks.silent_error_callback 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... [ 2%] generated/evalml.data_checks.DataCheckMessageCode writing output... [ 2%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 2%] generated/evalml.data_checks.DataCheckWarning writing output... [ 2%] generated/evalml.data_checks.DataChecks writing output... [ 2%] 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... [ 3%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 3%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 3%] generated/evalml.demos.load_breast_cancer writing output... [ 3%] generated/evalml.demos.load_churn writing output... [ 3%] 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... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.confusion_matrix writing output... [ 4%] 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... [ 5%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 5%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 5%] 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... [ 6%] generated/evalml.objectives.AUCWeighted writing output... [ 6%] generated/evalml.objectives.AccuracyBinary writing output... [ 6%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 6%] 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... [ 7%] generated/evalml.objectives.F1Macro writing output... [ 7%] generated/evalml.objectives.F1Micro writing output... [ 7%] 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... [ 8%] generated/evalml.objectives.MCCMulticlass writing output... [ 8%] generated/evalml.objectives.MSE writing output... [ 8%] 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... [ 9%] generated/evalml.objectives.PrecisionMicro writing output... [ 9%] generated/evalml.objectives.PrecisionWeighted writing output... [ 9%] 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... [ 10%] 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... [ 11%] 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.TimeSeriesRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 12%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 12%] 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.DelayedFeatureTransformer writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 13%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 13%] 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... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 14%] 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... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TargetEncoder 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... [ 16%] generated/evalml.pipelines.components.utils.generate_component_code writing output... [ 16%] 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... [ 17%] generated/evalml.preprocessing.target_distribution writing output... [ 17%] 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... [ 18%] generated/evalml.utils.drop_rows_with_nans writing output... [ 18%] generated/evalml.utils.get_random_seed writing output... [ 18%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/evalml.utils.pad_with_nans 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 19%] 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... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 20%] 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.DataCheckError.to_dict 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... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict 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... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 22%] 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... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 23%] 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... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type writing output... [ 24%] 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... [ 25%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 25%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 25%] 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... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] 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... [ 34%] 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... [ 35%] 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... [ 36%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type writing output... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MaxError.score writing output... [ 38%] 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... [ 39%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 39%] 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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type writing output... [ 40%] 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... [ 41%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 41%] generated/methods/evalml.objectives.Precision.score writing output... [ 41%] 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... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 42%] 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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type writing output... [ 43%] 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... [ 44%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type writing output... [ 44%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 44%] generated/methods/evalml.objectives.Recall.score writing output... [ 44%] 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... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 45%] 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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 46%] 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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type writing output... [ 47%] 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... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe writing output... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 68%] 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... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 69%] 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... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 70%] 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... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform 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... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 73%] 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... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 74%] 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... [ 75%] 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... [ 76%] 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... [ 77%] 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... [ 78%] 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... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 81%] 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... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 84%] 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... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 85%] 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... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 86%] 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... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 87%] 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... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 91%] 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.TargetEncoder.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names writing output... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.transform writing output... [ 93%] 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... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 95%] 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... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 96%] 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... [ 97%] 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... [ 98%] 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... [ 99%] 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.callbacks highlighting module code... [ 5%] evalml.automl.utils highlighting module code... [ 6%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 7%] 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_code highlighting module code... [ 10%] evalml.data_checks.data_check_message_type highlighting module code... [ 12%] evalml.data_checks.data_checks highlighting module code... [ 13%] evalml.data_checks.default_data_checks highlighting module code... [ 14%] evalml.data_checks.highly_null_data_check highlighting module code... [ 15%] evalml.data_checks.id_columns_data_check highlighting module code... [ 16%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 17%] evalml.data_checks.no_variance_data_check highlighting module code... [ 18%] evalml.data_checks.outliers_data_check highlighting module code... [ 19%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 20%] evalml.demos.breast_cancer highlighting module code... [ 21%] evalml.demos.churn highlighting module code... [ 23%] evalml.demos.diabetes highlighting module code... [ 24%] evalml.demos.fraud highlighting module code... [ 25%] evalml.demos.wine highlighting module code... [ 26%] evalml.model_family.model_family highlighting module code... [ 27%] evalml.model_family.utils highlighting module code... [ 28%] evalml.model_understanding.graphs highlighting module code... [ 29%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 30%] 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... [ 34%] evalml.objectives.lead_scoring highlighting module code... [ 35%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 36%] evalml.objectives.objective_base highlighting module code... [ 37%] evalml.objectives.regression_objective highlighting module code... [ 38%] 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... [ 45%] evalml.pipelines.components.component_base highlighting module code... [ 46%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 57%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 59%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 68%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 69%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 70%] evalml.pipelines.components.transformers.encoders.target_encoder highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 78%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.time_series highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 84%] evalml.pipelines.components.utils highlighting module code... [ 85%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 86%] evalml.pipelines.pipeline_base highlighting module code... [ 87%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.time_series_regression_pipeline highlighting module code... [ 91%] evalml.pipelines.utils highlighting module code... [ 92%] 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: 2020-11-25T01:07:33.103894Z, end-time: 2020-11-25T01:23:15.890537Z, duration: 942, 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: 911 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . [LightGBM] [Fatal] Check failed: (best_split_info.right_count) > (0) at /__w/1/s/python-package/compile/src/treelearner/serial_tree_learner.cpp, line 661 . /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6071_4c6991c9170a459d9e6340a9e5495d71_1bf0b0eed10245bb90993b9a80064348/6071-140293744512144-7dd533c4dca940a28bd73807c55b7a1c.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6071_4c6991c9170a459d9e6340a9e5495d71_876e842cbcf9462d89a7352ebbb5d67b/6071-140293744512144-c3e571efd3f7472fb09fa30e51b81373.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6071_4c6991c9170a459d9e6340a9e5495d71_fc584b27f560453aba20b4d13228be9e/6071-140293744512144-46758524910e41568f03cb5b355d1c4b.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6071_4c6991c9170a459d9e6340a9e5495d71_17b059c2b3214092b83ca1be2d4ba869/6071-140293744512144-5b1fd61e39fe464ea33c73242583514b.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6071_4c6991c9170a459d9e6340a9e5495d71_cd83b67b41ff41eeb35400733990e572/6071-140293744512144-7386fb57241944b997eb94e455bc2bed.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/stable/lib/python3.7/site-packages/joblib/externals/loky/backend/resource_tracker.py:304: UserWarning: resource_tracker: /tmp/joblib_memmapping_folder_6071_4c6991c9170a459d9e6340a9e5495d71_cab8f1d7db60452e8408af79be03270b/6071-140293744512144-914dcf65ce7c45e6b40d05736cdc4f3c.pkl: FileNotFoundError(2, 'No such file or directory') 'resource_tracker: %s: %r' % (name, e)) 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... [ 0%] generated/evalml.automl.callbacks.log_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.log_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_and_save_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.raise_error_callback reading sources... [ 1%] generated/evalml.automl.callbacks.silent_error_callback 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... [ 2%] generated/evalml.data_checks.DataCheckMessageCode reading sources... [ 2%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 2%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 2%] generated/evalml.data_checks.DataChecks reading sources... [ 2%] 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... [ 3%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 3%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 3%] generated/evalml.demos.load_breast_cancer reading sources... [ 3%] generated/evalml.demos.load_churn reading sources... [ 3%] 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... [ 4%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] 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... [ 5%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 5%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 5%] 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... [ 6%] generated/evalml.objectives.AUCWeighted reading sources... [ 6%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] 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... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 7%] 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... [ 8%] generated/evalml.objectives.MCCMulticlass reading sources... [ 8%] generated/evalml.objectives.MSE reading sources... [ 8%] 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... [ 9%] generated/evalml.objectives.PrecisionMicro reading sources... [ 9%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 9%] 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... [ 10%] 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... [ 11%] 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.TimeSeriesRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 12%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 12%] 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.DelayedFeatureTransformer reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 13%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] 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... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] 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... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TargetEncoder 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... [ 16%] generated/evalml.pipelines.components.utils.generate_component_code reading sources... [ 16%] 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... [ 17%] generated/evalml.preprocessing.target_distribution reading sources... [ 17%] 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... [ 18%] generated/evalml.utils.drop_rows_with_nans reading sources... [ 18%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/evalml.utils.pad_with_nans 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] 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... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 20%] 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.DataCheckError.to_dict 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... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.to_dict reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.to_dict 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... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] 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... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 23%] 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... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.is_defined_for_problem_type reading sources... [ 24%] 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... [ 25%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 25%] 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... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.is_defined_for_problem_type reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 28%] 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... [ 29%] 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... [ 30%] 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... [ 31%] 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... [ 34%] 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... [ 35%] 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... [ 36%] generated/methods/evalml.objectives.MCCBinary.is_defined_for_problem_type reading sources... [ 36%] 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... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] 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... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] 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... [ 39%] generated/methods/evalml.objectives.MedianAE.is_defined_for_problem_type reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] 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... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.is_defined_for_problem_type reading sources... [ 40%] 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... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] 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... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.is_defined_for_problem_type reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] 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... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.is_defined_for_problem_type reading sources... [ 43%] 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... [ 44%] generated/methods/evalml.objectives.Recall.is_defined_for_problem_type reading sources... [ 44%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] 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... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.is_defined_for_problem_type reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] 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... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.is_defined_for_problem_type reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] 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... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.is_defined_for_problem_type reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.is_defined_for_problem_type reading sources... [ 47%] 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... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.score reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 64%] 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... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 65%] 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... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 66%] 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... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 67%] 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... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 68%] 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... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 69%] 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... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 70%] 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... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 71%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.transform 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... [ 73%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 73%] 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... [ 74%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 74%] 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... [ 75%] 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... [ 76%] 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... [ 77%] 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... [ 78%] 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... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 81%] 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... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 84%] 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... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 85%] 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... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 86%] 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... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 87%] 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... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 88%] 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... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 89%] 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... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 90%] 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... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 91%] 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.TargetEncoder.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names reading sources... [ 92%] generated/methods/evalml.pipelines.components.TargetEncoder.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TargetEncoder.transform reading sources... [ 93%] 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... [ 94%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 95%] 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... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 96%] 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... [ 97%] 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... [ 98%] 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... [ 99%] 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.automl.callbacks.silent_error_callback generated/evalml.automl.callbacks.log_error_callback generated/evalml.automl.callbacks.raise_error_callback generated/evalml.automl.callbacks.log_and_save_error_callback generated/evalml.automl.callbacks.raise_and_save_error_callback 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.TimeSeriesRegressionPipeline generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.__init__ generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.clone generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.describe generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.fit generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.get_component generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.load generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.predict generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.save generated/methods/evalml.pipelines.TimeSeriesRegressionPipeline.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.TargetEncoder generated/methods/evalml.pipelines.components.TargetEncoder.__init__ generated/methods/evalml.pipelines.components.TargetEncoder.clone generated/methods/evalml.pipelines.components.TargetEncoder.describe generated/methods/evalml.pipelines.components.TargetEncoder.fit generated/methods/evalml.pipelines.components.TargetEncoder.fit_transform generated/methods/evalml.pipelines.components.TargetEncoder.get_feature_names generated/methods/evalml.pipelines.components.TargetEncoder.load generated/methods/evalml.pipelines.components.TargetEncoder.save generated/methods/evalml.pipelines.components.TargetEncoder.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.DelayedFeatureTransformer generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.__init__ generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.clone generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.describe generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.fit_transform generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.load generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.save generated/methods/evalml.pipelines.components.DelayedFeatureTransformer.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.to_dict 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.to_dict 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.to_dict generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.data_checks.DataCheckMessageCode generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed generated/evalml.utils.pad_with_nans generated/evalml.utils.drop_rows_with_nans 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/stable/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2020-11-25T01:23:17.739175Z, end-time: 2020-11-25T01:23:17.818498Z, 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: 2020-11-25T01:23:17.924716Z, end-time: 2020-11-25T01:23:46.296215Z, duration: 28, 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' ------------ Latexmk: applying 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) [6] LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 7 undefine d on input line 460. [7] [8] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.650 ...t=1840.0\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.650 ...t=1840.0\sphinxpxdimen]{{start_22_0}.svg} [9] [10] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [11] [12] [13] Overfull \vbox (2.03934pt too high) detected at line 1038 [14] [15] [16] [17] [18] [19] [20] Underfull \vbox (badness 10000) detected at line 1674 Overfull \vbox (2.68169pt too high) detected at line 1674 [21] Underfull \vbox (badness 10000) detected at line 1674 Overfull \vbox (24.68169pt too high) detected at line 1674 [22] [23] [24] Overfull \vbox (12.997pt too high) detected at line 1899 [25] Overfull \vbox (2.88167pt too high) detected at line 2060 [26] Underfull \vbox (badness 10000) detected at line 2060 Overfull \vbox (24.68169pt too high) detected at line 2060 [27] Underfull \vbox (badness 10000) detected at line 2060 Overfull \vbox (13.68169pt too high) detected at line 2060 [28] [29] [30] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 31 undefined on input line 2199. [31] [32] [33] [34] [35] [36] [37] [38] [39] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3108 ...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.3108 ...inxpxdimen]{{demos_text_input_19_0}.svg} [40] [41] [42] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3370 ...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.3370 ...inxpxdimen]{{demos_text_input_33_0}.svg} Underfull \vbox (badness 2173) detected at line 3453 [43] [44] Chapter 4. [45] Overfull \vbox (11.98256pt too high) detected at line 3635 [46] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 47 undefined on input line 3647. [47] Underfull \hbox (badness 10000) in paragraph at lines 3688--3689 []\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 48 undefined on input line 3737. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3777 ...]{{keyboard_interrupt_demo_updated}.gif} [48] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3777 ...]{{keyboard_interrupt_demo_updated}.gif} [49] [50] [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4269 Overfull \vbox (2.68169pt too high) detected at line 4269 [54] [55] Overfull \vbox (2.88167pt too high) detected at line 4425 [56] Underfull \vbox (badness 10000) detected at line 4467 Overfull \vbox (31.28166pt too high) detected at line 4467 [57] Underfull \hbox (badness 10000) in paragraph at lines 4532--4533 []\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 , [58] [59] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 60 undefined on input line 4632. [60] Underfull \vbox (badness 10000) detected at line 4733 Overfull \vbox (2.68169pt too high) detected at line 4733 [61] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 62 undefined on input line 4752. [62] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 63 undefined on input line 4864. [63] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 64 undefined on input line 4955. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 64 undefined on input line 4955. [64] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 65 undefined on input line 5040. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 65 undefined on input line 5040. [65] Underfull \vbox (badness 10000) detected at line 5109 Underfull \vbox (badness 10000) detected at line 5109 [66] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 67 undefined on input line 5119. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 67 undefined on input line 5122. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 67 undefined on input line 5190. [67] [68] [69] [70] Underfull \hbox (badness 10000) in paragraph at lines 5439--5441 \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 71 undefine d on input line 5453. [71] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 72 undefine d on input line 5491. [72] [73] LaTeX Warning: Hyper reference `api_reference:components' on page 74 undefined on input line 5665. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5707 ...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.5707 ...xdimen]{{user_guide_pipelines_16_0}.svg} [74] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 75 undefined on input line 5800. [75] [76] Underfull \vbox (badness 10000) detected at line 6072 [77] [78] [79] [80] [81] [82] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 83 undefine d on input line 6522. [83] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 84 undefined on input line 6626. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 84 undefined on inpu t line 6677. [84] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 85 undefined on input line 6679. [85] Underfull \vbox (badness 10000) detected at line 6786 Overfull \vbox (13.68169pt too high) detected at line 6786 [86] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 87 undefined on input line 6811 . Overfull \vbox (9.28165pt too high) detected at line 6867 [87] [88] Underfull \vbox (badness 10000) detected at line 7014 Overfull \vbox (2.68169pt too high) detected at line 7014 [89] [90] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 91 undefine d on input line 7029. [91] [92] [93] [94] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:: doc' on page 95 undefined on input line 7455. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError::do c' on page 95 undefined on input line 7455. [95] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: :doc' on page 96 undefined on input line 7524. [96] [97] [98] Underfull \vbox (badness 10000) detected at line 7850 Overfull \vbox (2.68169pt too high) detected at line 7850 [99] Underfull \vbox (badness 10000) detected at line 7850 Overfull \vbox (2.68169pt too high) detected at line 7850 [100] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 101 undefin ed on input line 7863. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 101 undefine d on input line 7863. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 101 undefi ned on input line 7864. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 101 undefin ed on input line 7869. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 101 undefined on input line 7869. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 101 undefined on input line 7874. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 101 undefined on input line 7879. [101] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 102 undefin ed on input line 7894. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 102 undefi ned on input line 7899. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 102 undefine d on input line 7904. [102] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 103 undefined on input line 7935. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 103 undefined on input line 7940. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 103 undefined on input line 7945. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 103 undefined on input line 7950. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 103 undefined on input line 7955. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 7960. [103] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 104 undefined on input line 8104. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 104 undefined on input line 8109. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 104 undefined on input li ne 8114. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 104 undefined on input line 8119. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 104 undefined on input line 8124. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 8129. [104] [105] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 106 undefined on input line 8304. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 8309. Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 []\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 8316--8316 \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 8316--8316 \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 8316--8316 \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 8316--8316 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/pt m/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver - Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 106 undefined on input line 8338. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 106 undefined on input line 8343. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 106 undef ined on input line 8348. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 106 undefined on in put line 8353. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 106 undefined on input line 8358. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 106 undefined on input line 8363. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 106 undefined on input line 836 8. Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 8373. Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 []\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 8380--8380 \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 8380--8380 \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 8380--8380 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bos e=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 op- Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 \T1/ptm/m/it/10 ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-sem -bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 106 undefined on input line 8385. [106] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 107 undefined on input line 8388. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 107 undefined on input line 8428. Underfull \hbox (badness 7869) in paragraph at lines 8428--8432 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [107] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 108 undefined on input line 8501. [108] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 109 undefined on input line 8565. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 109 undefined on input line 8636. [109] Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 8700. LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 110 u ndefined on input line 8731. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 8736. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 110 undefined on input line 8753. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 110 undefined on input line 8781. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 110 und efined on input line 8786. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 8791. Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [110 <./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 111 undefined on input line 8820. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 111 undefined on input line 8825. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 111 undefined on input line 8830. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 8835. Underfull \hbox (badness 10000) in paragraph at lines 8842--8842 []\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 111 undefined on input line 8880. [111] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 112 undefined on input line 8901. Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 8937. Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \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 8952--8952 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 en-sem-bling=False\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 112 undefined on input line 8974. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 112 undefined on input line 8979. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 112 undefined on input line 8984. [112 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 8989. Underfull \hbox (badness 10000) in paragraph at lines 8996--8996 []\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 8996--8996 \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 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 113 undefined on input line 9047. [113] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 114 undefined on input line 9068. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 9104. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.silent_error_ callback:evalml.automl.callbacks.silent_error_callback' on page 114 undefined o n input line 9135. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.log_error_cal lback:evalml.automl.callbacks.log_error_callback' on page 114 undefined on inpu t line 9140. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.raise_error_c allback:evalml.automl.callbacks.raise_error_callback' on page 114 undefined on input line 9145. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.log_and_save_ error_callback:evalml.automl.callbacks.log_and_save_error_callback' on page 114 undefined on input line 9150. LaTeX Warning: Hyper reference `generated/evalml.automl.callbacks.raise_and_sav e_error_callback:evalml.automl.callbacks.raise_and_save_error_callback' on page 114 undefined on input line 9155. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 9160. [114 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9200--9200 []\T1/ptm/m/it/10 exception\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trace-back\T1/ptm/m /n/10 , \T1/ptm/m/it/10 au-toml\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 115 undefined on input line 9243. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 115 undefined on input line 9248. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 115 undefined o n input line 9253. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 115 und efined on input line 9258. Underfull \hbox (badness 5908) in paragraph at lines 9260--9262 []|\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 115 undefined on input line 9263. LaTeX Warning: Hyper reference `generated/evalml.pipelines.TimeSeriesRegression Pipeline:evalml.pipelines.TimeSeriesRegressionPipeline' on page 115 undefined o n input line 9268. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 9273. [115] Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 9330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 116 undefined on inpu t line 9351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 116 undefined on input line 9356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 116 undefined on input line 9361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 116 undefined on inpu t line 9366. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 116 undefined on input line 937 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 116 undefin ed on input line 9376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 116 undefined on input line 9381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 116 undefined on input line 9386. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 116 undefined on input line 9 391. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 116 undefined on input line 9396. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 116 undefined on input line 9 401. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 116 undefined on input line 9406. Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 9411. [116] [117] Underfull \hbox (badness 7064) in paragraph at lines 9618--9619 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [118] Underfull \hbox (badness 10000) in paragraph at lines 9671--9672 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 9760. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 1 19 undefined on input line 9781. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 119 und efined on input line 9786. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 119 undefined on input line 9791. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 1 19 undefined on input line 9796. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 119 undefin ed on input line 9801. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 119 undefined on input line 9806. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 119 und efined on input line 9811. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 119 undefined on input line 9816. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 119 undef ined on input line 9821. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 119 undefined on input line 9826. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 119 undefined on input line 9831. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 119 undef ined on input line 9836. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 119 und efined on input line 9841. Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 9846. [119 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] [120] Underfull \hbox (badness 10000) in paragraph at lines 9942--9944 []\T1/ptm/m/n/10 by sorted(set(y)) [121] Underfull \hbox (badness 7064) in paragraph at lines 10056--10057 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [122] Underfull \hbox (badness 10000) in paragraph at lines 10131--10132 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 10225. [123 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 124 undefined on input line 10246. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 124 undefined on input line 10251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 124 undefined on input line 1025 6. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 124 undefined on input line 10261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 124 undefined on input line 10266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 124 undefined on input line 10271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 124 undefined on input line 10276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 124 undefined on input line 10281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 124 undefined on input line 10286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 124 undefined on input line 10291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 124 undefined on input line 10296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 124 undefined on input line 10301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 124 undefined on input line 10306. Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 10311. [124] Underfull \hbox (badness 10000) in paragraph at lines 10407--10409 []\T1/ptm/m/n/10 by sorted(set(y)) [125] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10478--10478 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10521--10522 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10547--10549 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [126] Underfull \hbox (badness 10000) in paragraph at lines 10596--10597 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10630--10630 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [127 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 10685. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 128 undefined on input line 10706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 128 undefined on input line 10711. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 128 undefined on input l ine 10716. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 128 undefined on input line 10721. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 128 undefined on input line 10726. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 128 undefined on input line 10731. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 128 undefined on input line 10736. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 128 undefined on input line 10741. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 128 undefined on input line 10746. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 128 undefined on input line 10751. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 128 undefined on input line 10756. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 128 undefined on input line 10761. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 128 undefined on input line 10766. Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 10771. [128] Underfull \hbox (badness 10000) in paragraph at lines 10867--10869 []\T1/ptm/m/n/10 by sorted(set(y)) [129] Overfull \hbox (30.95404pt too wide) in paragraph at lines 10938--10938 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10981--10982 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [130] Underfull \hbox (badness 10000) in paragraph at lines 11056--11057 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [131 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 11140. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 132 undef ined on input line 11161. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 132 undefined o n input line 11166. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 132 undefined on input line 11171. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 132 undef ined on input line 11176. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 132 undefined on in put line 11181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 132 undefined on input line 11186. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 132 undefined o n input line 11191. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 132 undefined on input line 11196. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 132 undefined on input line 11201. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 132 undefin ed on input line 11206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 132 undefined on input line 11211. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 132 undefined o n input line 11216. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 11221. [132] [133] Underfull \hbox (badness 7064) in paragraph at lines 11428--11429 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [134] Underfull \hbox (badness 7064) in paragraph at lines 11481--11482 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 11565. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.__init__:evalml.pipelines.TimeSeriesRegressionPipeline.__init_ _' on page 135 undefined on input line 11586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.clone:evalml.pipelines.TimeSeriesRegressionPipeline.clone' on page 135 undefined on input line 11591. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.compute_estimator_features:evalml.pipelines.TimeSeriesRegressi onPipeline.compute_estimator_features' on page 135 undefined on input line 1159 6. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.describe:evalml.pipelines.TimeSeriesRegressionPipeline.describ e' on page 135 undefined on input line 11601. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.fit:evalml.pipelines.TimeSeriesRegressionPipeline.fit' on page 135 undefined on input line 11606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.get_component:evalml.pipelines.TimeSeriesRegressionPipeline.ge t_component' on page 135 undefined on input line 11611. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph:evalml.pipelines.TimeSeriesRegressionPipeline.graph' on page 135 undefined on input line 11616. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.graph_feature_importance:evalml.pipelines.TimeSeriesRegression Pipeline.graph_feature_importance' on page 135 undefined on input line 11621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.load:evalml.pipelines.TimeSeriesRegressionPipeline.load' on pa ge 135 undefined on input line 11626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.predict:evalml.pipelines.TimeSeriesRegressionPipeline.predict' on page 135 undefined on input line 11631. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.save:evalml.pipelines.TimeSeriesRegressionPipeline.save' on pa ge 135 undefined on input line 11636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.TimeSeriesRe gressionPipeline.score:evalml.pipelines.TimeSeriesRegressionPipeline.score' on page 135 undefined on input line 11641. [135 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 11646. [136] [137] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11812--11812 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11855--11856 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138] Underfull \hbox (badness 10000) in paragraph at lines 11911--11912 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 139 undefined on input line 11961. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 139 undefined on in put line 11966. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 139 undefined on in put line 11971. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 139 undefin ed on input line 11976. Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 11981. [139 <./inheritance-fc786ac575013825c5f71c8953dfdc8bb979190b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 12084. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 40 undefined on input line 12105. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 140 und efined on input line 12110. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 140 undefined on input line 12115. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 40 undefined on input line 12120. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 140 undefin ed on input line 12125. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 140 undefined on input line 12130. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 140 und efined on input line 12135. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 140 undefined on input line 12140. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 140 undef ined on input line 12145. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 140 undefined on input line 12150. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 140 undefined on input line 12155. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 140 undef ined on input line 12160. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 140 und efined on input line 12165. Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 12170. [140] Underfull \hbox (badness 10000) in paragraph at lines 12266--12268 []\T1/ptm/m/n/10 by sorted(set(y)) [141] Underfull \hbox (badness 7064) in paragraph at lines 12380--12381 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 12406--12408 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [142] Underfull \hbox (badness 10000) in paragraph at lines 12455--12456 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [143 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 12580. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 144 undefined on input line 12601. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 144 undefined on input line 12606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 144 undefined on input line 12611. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 144 undefined on input line 12616. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 144 undefined on input line 12621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 144 undefined on input line 12626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 144 undefined on input line 12631. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 144 undefined on input line 12636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 44 undefined on input line 12641. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 144 undefined on input line 12646. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 144 undefined on input line 12651. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 44 undefined on input line 12656. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 144 undefined on input line 12661. Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 12666. [144] Underfull \hbox (badness 10000) in paragraph at lines 12762--12764 []\T1/ptm/m/n/10 by sorted(set(y)) [145] Underfull \hbox (badness 7064) in paragraph at lines 12876--12877 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [146] Underfull \hbox (badness 10000) in paragraph at lines 12951--12952 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [147] Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 13081. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 148 undefined on input line 13102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 148 undefined on input line 13107. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 148 undefined on input line 13112. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 148 undefined on input line 13117. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 148 undefined on input line 13122. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 148 undefined on input line 13127. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 148 undefined on input line 13132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 148 undefined on input line 13137. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 48 undefined on input line 13142. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 148 undefined on input line 13147. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 148 undefined on input line 13152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 48 undefined on input line 13157. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 148 undefined on input line 13162. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 13167. [148 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [149] Underfull \hbox (badness 10000) in paragraph at lines 13263--13265 []\T1/ptm/m/n/10 by sorted(set(y)) [150] Underfull \hbox (badness 7064) in paragraph at lines 13377--13378 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 13403--13405 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [151] Underfull \hbox (badness 10000) in paragraph at lines 13452--13453 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 13486--13486 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 13577. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 153 undefined on input line 13598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 153 undefined on input line 13603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 153 undefined on input line 13608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 153 undefined on input line 13613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 153 undefined on input line 13618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 153 undefined on input line 13623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 153 undefined on input line 13628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 153 undefined on input line 1363 3. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 153 undefined on input line 13638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 153 undefined on input line 13643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 153 undefined on input line 13648. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 153 undefined on input line 13653. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 153 undefined on input line 13658. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 13663. [153] Underfull \hbox (badness 10000) in paragraph at lines 13759--13761 []\T1/ptm/m/n/10 by sorted(set(y)) [154] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13830--13830 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13873--13874 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [155] Underfull \hbox (badness 10000) in paragraph at lines 13948--13949 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 156 undefined on in put line 13998. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 156 undefin ed on input line 14003. [156 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 14008. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 14101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 157 undefined on input line 14122. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 157 undefined on input line 14127. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 157 undefined on input line 14132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 157 undefined on input line 14137. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 157 undefined on input line 14142. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 157 undefined on input line 14147. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 157 undefined on input line 14152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 157 undefined on input line 14157. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 57 undefined on input line 14162. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 157 undefined on input line 14167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 57 undefined on input line 14172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 157 undefined on input line 14177. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 14182. [157] [158] [159] Underfull \hbox (badness 7064) in paragraph at lines 14389--14390 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 14442--14443 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160] Underfull \hbox (badness 10000) in paragraph at lines 14476--14476 []\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 38 on input line 14562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 161 undefined on input line 14583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 161 undefined on input line 14588. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 161 undefined on input line 14593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 161 undefined on input line 14598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 161 undefined on input line 14603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 161 undefined on input line 14608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 161 undefined on input line 14613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 161 undefined on input line 1461 8. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 161 undefined on input line 14623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 161 undefined on input line 14628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 161 undefined on input line 14633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 161 undefined on input line 14638. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 14643. [161 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [162] Overfull \hbox (18.95404pt too wide) in paragraph at lines 14807--14807 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 7064) in paragraph at lines 14850--14851 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 14903--14904 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 165 undefined on input line 14953 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 65 undefined on input line 14958. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 165 undefined o n input line 14963. Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 14968. Underfull \hbox (badness 10000) in paragraph at lines 14975--14975 []\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 165 undefined on input line 149 90. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 165 undefined on input line 14993. Underfull \hbox (badness 10000) in paragraph at lines 15014--15014 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- [165 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Overfull \hbox (78.19925pt too wide) in paragraph at lines 15015--15019 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 166 undefined on input line 15027. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 166 undefined on input line 15088. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 166 undefined on input line 15093. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 166 undefined on input line 150 98. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 15103. Underfull \hbox (badness 10000) in paragraph at lines 15110--15110 []\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 15110--15110 \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 166 undefined on input line 15132. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 166 undefined on input line 15137. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 166 undefined on input line 15142. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 166 und efined on input line 15147. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 166 u ndefined on input line 15152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 166 u ndefined on input line 15157. [166] Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 15162. Underfull \hbox (badness 10000) in paragraph at lines 15169--15169 []\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 , [167] Underfull \hbox (badness 10000) in paragraph at lines 15304--15304 []\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 15304--15304 \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 68 undefined on input line 15335. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 168 und efined on input line 15340. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 68 undefined on input line 15345. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 168 undefin ed on input line 15350. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 168 undefined on input line 15355. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 168 undef ined on input line 15360. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 168 undef ined on input line 15365. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 168 undefined on input line 15370. [168 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 15375. [169] [170] Underfull \hbox (badness 10000) in paragraph at lines 15573--15573 []\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 171 u ndefined on input line 15603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 171 undefin ed on input line 15608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 171 u ndefined on input line 15613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 171 undefined o n input line 15618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 171 undefined on input line 15623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 171 und efined on input line 15628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 171 undefined on input line 15633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 171 undefined on input line 15638. Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 15643. [171 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [172] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 173 undefined on input line 15845. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 173 undef ined on input line 15850. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 173 undefined on input line 15855. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 15860. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 173 undefined on input line 15871. [173 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 174 undefined on input line 15877. Underfull \hbox (badness 10000) in paragraph at lines 15889--15889 []\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 174 undefined on input line 15896. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 174 undefined on input line 15899. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 174 undefined on input line 15957. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 174 undefined on input line 15962. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 174 undefined on input line 15967. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TargetEnc oder:evalml.pipelines.components.TargetEncoder' on page 174 undefined on input line 15972. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 174 undefined on input line 15977. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 174 undefined on input line 15982. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 174 undefined on input line 15987. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 174 undefined on inpu t line 15992. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 174 undefined on input line 15997. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 174 undefined on input line 16002. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 174 undefined on in put line 16007. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 174 undefined on input line 16012. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 174 undefined on inpu t line 16017. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DelayedFe atureTransformer:evalml.pipelines.components.DelayedFeatureTransformer' on page 174 undefined on input line 16022. Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 16027. [174] Underfull \hbox (badness 10000) in paragraph at lines 16034--16034 []\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 47 on input line 16090. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 75 undefined on input line 16111. Underfull \hbox (badness 7576) in paragraph at lines 16113--16115 []|\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 175 und efined on input line 16116. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 75 undefined on input line 16121. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 175 undefin ed on input line 16126. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 175 undefined on input line 16131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 175 undef ined on input line 16136. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 175 undef ined on input line 16141. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 175 undefined on input line 16146. Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 16151. [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 16354--16354 []\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 , [177 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 16410. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 178 undefined on input line 16431. Underfull \hbox (badness 7576) in paragraph at lines 16433--16435 []|\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 178 undefined on input line 16436. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 178 undefined on input line 16441. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 178 und efined on input line 16446. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 178 undefined on input line 16451. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 178 u ndefined on input line 16456. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 178 u ndefined on input line 16461. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 178 undefined on input line 16466. Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 16471. [178] [179] Underfull \hbox (badness 10000) in paragraph at lines 16674--16674 \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 16674--16674 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [180 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 16730. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 181 undefined on input line 16751. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 181 undefined on input line 16756. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 181 undefined on input line 16761. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 181 undefined on input line 16766. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 181 und efined on input line 16771. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 181 undefined on input line 16776. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 181 undefined on input line 16781. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 181 u ndefined on input line 16786. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 181 u ndefined on input line 16791. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 181 undefined on input line 16796. Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 16801. [181] [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17075--17075 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17075--17075 \T1/ptm/m/it/10 han-dle_unknown='value'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 17131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.__init__:evalml.pipelines.components.TargetEncoder.__init__' on pa ge 184 undefined on input line 17152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.clone:evalml.pipelines.components.TargetEncoder.clone' on page 184 undefined on input line 17157. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.describe:evalml.pipelines.components.TargetEncoder.describe' on pa ge 184 undefined on input line 17162. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit:evalml.pipelines.components.TargetEncoder.fit' on page 184 und efined on input line 17167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.fit_transform:evalml.pipelines.components.TargetEncoder.fit_transf orm' on page 184 undefined on input line 17172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.get_feature_names:evalml.pipelines.components.TargetEncoder.get_fe ature_names' on page 184 undefined on input line 17177. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.load:evalml.pipelines.components.TargetEncoder.load' on page 184 u ndefined on input line 17182. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.save:evalml.pipelines.components.TargetEncoder.save' on page 184 u ndefined on input line 17187. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T argetEncoder.transform:evalml.pipelines.components.TargetEncoder.transform' on page 184 undefined on input line 17192. Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 17197. [184 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17204--17204 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown='value'\T1/ptm/m/n/10 , \T1/ptm/m/i t/10 han- [185] [186] Underfull \hbox (badness 10000) in paragraph at lines 17435--17435 []\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 17435--17435 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [187 <./inheritance-3522f6f5a8ab432eb444da6674f5ed888fe40b1e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 17491. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 188 undefined on input line 17512. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 188 undefined on input line 17517. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 188 undefined on input line 17522. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 88 undefined on input line 17527. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 188 undefined on input line 17532. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 188 undefined on input line 17537. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 188 undefined on input line 17542. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 188 undefined on input line 17547. Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 17552. Overfull \hbox (5.61217pt too wide) in paragraph at lines 17559--17559 []\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 , Underfull \hbox (badness 7504) in paragraph at lines 17564--17568 []\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, [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 17770--17770 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17770--17770 \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 17770--17770 \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 17770--17770 \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 , [190 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 17826. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 191 undef ined on input line 17847. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 191 undefined o n input line 17852. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 191 undef ined on input line 17857. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 191 undefined on in put line 17862. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 191 undefined on input line 17867. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 191 undefined on input line 17872. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 191 undefined on input line 17877. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 191 und efined on input line 17882. Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 17887. Underfull \hbox (badness 10000) in paragraph at lines 17894--17894 []\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 , [191] [192] Overfull \hbox (62.0307pt too wide) in paragraph at lines 18070--18072 [] Underfull \hbox (badness 10000) in paragraph at lines 18108--18108 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18108--18108 \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 , [193 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 18164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 194 undefined on input line 18185. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 194 undefined on input line 18190. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 194 undefined on input line 18195. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 194 und efined on input line 18200. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 194 undefined on input line 18205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 194 u ndefined on input line 18210. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 194 u ndefined on input line 18215. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 194 undefined on input line 18220. Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 18225. [194] [195] Overfull \hbox (62.0307pt too wide) in paragraph at lines 18404--18406 [] [196 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 18498. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 197 undefined on input line 18519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 97 undefined on input line 18524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 197 undefined on input line 18529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 197 u ndefined on input line 18534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 197 undefined on input line 18539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 197 undefined on input line 18544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 197 undefined on input line 18549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 197 undefined on input line 18554. Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 18559. [197] [198] Overfull \hbox (19.00412pt too wide) in paragraph at lines 18757--18757 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \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 18757--18757 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [199 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 18813. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 200 undefined on input line 18834. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 200 undefined on input line 18839. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 200 undefined on input line 18844. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 200 undefined on input line 18849. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 200 undefined on input line 18854. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 200 undefined on input line 18859. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 200 undefined on input line 18864. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 200 undefined on input line 18869. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 200 undefined on input line 18874. Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 18879. Underfull \hbox (badness 10000) in paragraph at lines 18886--18886 []\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 18886--18886 \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 18886--18886 \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 , [200] [201] Overfull \hbox (25.00412pt too wide) in paragraph at lines 19093--19093 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \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 19093--19093 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 19149. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 203 undefined on input line 19170. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 203 undefined on input line 19175. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 203 undefined on input line 19180. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 203 undefined on input line 19185. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 203 undefined on input line 19190. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 203 undefined on input line 19195. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 203 undefined on input line 19200. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 203 undefined on input line 19205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 203 undefined on input line 19210. Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 19215. Underfull \hbox (badness 10000) in paragraph at lines 19222--19222 []\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 19222--19222 \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 19222--19222 \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 , [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 19429--19429 []\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 67 on input line 19485. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 205 undefined on input line 19506. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 205 undefined on input line 19511. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 205 undefined on input line 19516. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 205 undefined on input line 19521. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 205 undefined on input line 19526. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 2 05 undefined on input line 19531. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 2 05 undefined on input line 19536. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 205 undefined on input line 19541. [205 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 19546. [206] [207] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 19807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 208 undefined on input line 19828. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 208 undefined on input line 19833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 208 undefined on input line 19838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 208 undefined on input line 19843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 208 undefined on input line 19848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 208 undefined on input line 19853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 208 undefined on input line 19858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 208 undefined on input line 19863. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 19868. [208 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [209] [210] Underfull \hbox (badness 10000) in paragraph at lines 20077--20077 []\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 71 on input line 20133. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 211 undefined on input line 20154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 2 11 undefined on input line 20159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 211 undefined on input line 20164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 211 u ndefined on input line 20169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 211 undefined on input line 20174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 211 undefined on input line 20179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 211 undefined on input line 20184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 211 undefined on input line 20189. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 20194. [211 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [212] [213] Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 20459. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.__init__:evalml.pipelines.components.DelayedFeatureTra nsformer.__init__' on page 214 undefined on input line 20480. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.clone:evalml.pipelines.components.DelayedFeatureTransf ormer.clone' on page 214 undefined on input line 20485. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.describe:evalml.pipelines.components.DelayedFeatureTra nsformer.describe' on page 214 undefined on input line 20490. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit:evalml.pipelines.components.DelayedFeatureTransfor mer.fit' on page 214 undefined on input line 20495. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.fit_transform:evalml.pipelines.components.DelayedFeatu reTransformer.fit_transform' on page 214 undefined on input line 20500. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.load:evalml.pipelines.components.DelayedFeatureTransfo rmer.load' on page 214 undefined on input line 20505. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.save:evalml.pipelines.components.DelayedFeatureTransfo rmer.save' on page 214 undefined on input line 20510. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D elayedFeatureTransformer.transform:evalml.pipelines.components.DelayedFeatureTr ansformer.transform' on page 214 undefined on input line 20515. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 20520. [214 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20527--20527 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 20527--20527 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [215] [216] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 217 undefined on input line 20756. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 217 undef ined on input line 20761. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 217 undef ined on input line 20766. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 217 u ndefined on input line 20771. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 217 undefined on input line 20776. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 217 undefined on input line 20781. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 217 undefined o n input line 20786. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 217 undefined on input line 20791. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 217 undefined on input line 20796. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 217 u ndefined on input line 20801. Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 20806. Underfull \hbox (badness 10000) in paragraph at lines 20813--20813 []\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 20813--20813 \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 20813--20813 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [217 <./inheritance-3e3816801b44ab840cb849deb667decb78b6ea15.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 20893. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 218 undefined on input line 20914. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 218 undefined on input line 20919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 218 undefined on input line 20924. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 218 undefined on input line 20929. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 218 undefined on input line 20934. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 218 undefined on input line 20939. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 218 undefined on input line 20944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 218 undefined on input line 20949. Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 20954. Underfull \hbox (badness 10000) in paragraph at lines 20961--20961 []\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 20961--20961 \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 , [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 21140--21140 []\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 21140--21140 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21140--21140 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [220 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 21207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 221 undefined on input line 21228. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 221 undefined on input line 21233. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 221 undefined on input line 21238. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 221 undefined on input line 21243. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 221 undefined on input line 21248. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 221 undefined on input line 21253. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 221 undefined on input line 21258. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 221 undefined on input line 21263. Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 21268. [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \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 80 on input line 21521. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 223 undefined on input line 21542. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 223 undefined on input line 21547. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 223 undefined on input line 21552. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 223 undefined on input line 21557. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 223 undefined on input line 21562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 223 undefined on input line 21567. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 223 undefined on input line 21572. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 223 undefined on input line 21577. Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 21582. [223 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21589--21589 []\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 21589--21589 \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 , [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 21768--21768 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21768--21768 \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 82 on input line 21835. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 226 undefined on input line 21856. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 226 undefined on input line 21861. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 226 undefined on input line 21866. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 226 undefined on input line 21871. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 226 undefined on input line 21876. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 226 undefined on input line 21881. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 226 undefined on input line 21886. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 226 undefined on input line 21891. Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 21896. [226 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21903--21903 []\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- [227] Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \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 22082--22082 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [228 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 22159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 229 undefined on input line 22180. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 229 undefined on input line 22185. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 229 undefined on input line 22190. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 229 undefined on input line 22195. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 229 undefined on input line 22200. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 229 undefined on input line 22205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 229 undefined on input line 22210. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 229 undefined on input line 22215. Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 22220. Underfull \hbox (badness 10000) in paragraph at lines 22227--22227 \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 22227--22227 \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- [229] [230] Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [231 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 22473. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 232 undefined on input line 22494. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 232 undefined on input line 22499. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 232 undefined on input line 22504. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 232 undefined on input line 22509. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 232 undefined on input line 22514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 232 undefined on input line 22519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 232 undefined on input line 22524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 232 undefined on input line 22529. Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 22534. Underfull \hbox (badness 10000) in paragraph at lines 22541--22541 []\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 22541--22541 \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- [232] [233] Underfull \hbox (badness 10000) in paragraph at lines 22720--22720 []\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 22720--22720 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22720--22720 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 22797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 235 undefined on input line 22818. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 235 undefined on input line 22823. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 235 undefined on input line 22828. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 235 undefined on input line 22833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 235 undefined on input line 22838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 235 undefined on input line 22843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 235 undefined on input line 22848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 235 undefined on input line 22853. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 22858. [235] [236] Underfull \hbox (badness 10000) in paragraph at lines 23044--23044 []\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 90 on input line 23118. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 237 undefined on input line 23139. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 237 undefined on input line 23144. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 237 undefined on input line 23149. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 237 undefined on input line 23154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 237 undefined on input line 23159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 237 undefined on input line 23164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 237 undefined on input line 23169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 237 undefined on input line 23174. [237 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 23179. [238] [239] Overfull \hbox (7.27411pt too wide) in paragraph at lines 23376--23376 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 23443. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 240 undefined on input line 23464. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 240 undefined on input line 23469. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 240 undefined on input line 23474. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 240 undefined on input line 23479. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 240 undefined on input line 23484. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 240 undefined on input line 23489. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 240 undefined on input line 23494. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 240 undefined on input line 23499. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 23504. [240 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23511--23511 []\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 241 undefined on input line 23516. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 241 undefined on input line 235 20. [241] [242] Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 23787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 244 undefined on input line 23808. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 244 undefined on input line 23813. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 244 undefined on input line 23818. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 244 undefined on input line 23823. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 244 undefined on input line 23828. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 244 undefined on input line 23833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 244 undefined on input line 23838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 244 undefined on input line 23843. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 23848. Underfull \hbox (badness 5147) in paragraph at lines 23855--23855 []\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 23855--23855 \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 , [244] [245] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 246 undefined o n input line 24052. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 246 undefin ed on input line 24057. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 246 undefined on in put line 24062. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 246 undefin ed on input line 24067. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 246 und efined on input line 24072. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 246 undefined on input line 24077. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 246 undefined o n input line 24082. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 46 undefined on input line 24087. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 246 und efined on input line 24092. Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 24097. Underfull \hbox (badness 10000) in paragraph at lines 24104--24104 []\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 24104--24104 \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 24104--24104 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [246 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 24184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 247 undefined on input line 24205. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 247 undefined on input line 24210. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 247 undefined on input line 24215. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 247 undefined on input line 24220. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 247 undefined on input line 24225. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 247 undefined on input line 24230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 247 undefined on input line 24235. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 247 undefined on input line 24240. Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 24245. Underfull \hbox (badness 10000) in paragraph at lines 24252--24252 []\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 24252--24252 \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 , [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 24431--24431 []\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 24431--24431 \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 24431--24431 \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 99 on input line 24498. [249 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 250 undefined on input line 24519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 250 undefined on input line 24524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 250 undefined on input line 24529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 250 undefined on input line 24534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 250 undefined on input line 24539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 250 undefined on input line 24544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 250 undefined on input line 24549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 250 undefined on input line 24554. Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 24559. [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 24745--24745 []\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 24745--24745 \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 101 on input line 24812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 252 undefined on input line 24833. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 252 undefined on input line 24838. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 252 undefined on input line 24843. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 252 undefined on input line 24848. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 52 undefined on input line 24853. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 252 undefined on input line 24858. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 252 undefined on input line 24863. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 52 undefined on input line 24868. Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 24873. [252 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [253] Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [254 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 25126. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 255 undefined on input line 25147. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 255 undefined on input line 25152. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 255 undefined on input line 25157. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 255 undefined on input line 25162. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 255 undefined on input line 25167. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 255 undefined on input line 25172. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 255 undefined on input line 25177. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 255 undefined on input line 25182. Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 25187. Underfull \hbox (badness 10000) in paragraph at lines 25194--25194 []\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 25194--25194 \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 , [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 25373--25373 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25373--25373 \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 25373--25373 \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 , [257 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 25440. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 258 undefined on input line 25461. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 258 undefined on input line 25466. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 258 undefined on input line 25471. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 258 undefined on input line 25476. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 258 undefined on input line 25481. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 258 undefined on input line 25486. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 258 undefined on input line 25491. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 258 undefined on input line 25496. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 25501. Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 []\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- [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 25687--25687 []\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 25687--25687 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25687--25687 \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 107 on input line 25764. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 260 undefined on input line 25785. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 260 undefined on input line 25790. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 260 undefined on input line 25795. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 2 60 undefined on input line 25800. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 260 undefined on input line 25805. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 260 undefined on input line 25810. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 260 undefined on input line 25815. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 260 undefined on input line 25820. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 25825. [260 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 26011--26011 []\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 109 on input line 26080. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 263 undefined on input line 26101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 263 undefined on input line 26106. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 263 undefined on input line 26111. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 263 undefined on input line 26116. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 263 undefined on input line 26121. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 263 undefined on input line 26126. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 263 undefined on input line 26131. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 263 undefined on input line 26136. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 26141. [263 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [264] [265] Overfull \hbox (1.27411pt too wide) in paragraph at lines 26338--26338 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26338--26338 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 26338--26338 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 26338--26338 \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 26338--26338 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 26405. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 266 undefined on input line 26426. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 266 undefined on input line 26431. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 266 undefined on input line 26436. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 266 undefined on input line 26441. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 266 undefined on input line 26446. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 266 undefined on input line 26451. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 266 undefined on input line 26456. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 266 undefined on input line 26461. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 26466. [266 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26473--26473 []\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 267 undefined on input line 26478. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 267 undefined on input line 264 82. [267] [268] Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [269 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 26749. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 270 undefined on input line 26770. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 270 undefined on input line 26775. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 270 undefined on input line 26780. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 270 undefined on input line 26785. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 270 undefined on input line 26790. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 270 undefined on input line 26795. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 270 undefined on input line 26800. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 270 undefined on input line 26805. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 26810. Underfull \hbox (badness 10000) in paragraph at lines 26817--26817 []\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 26817--26817 \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 , [270] [271] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 272 undefined on in put line 27015. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 272 undefined on input line 27020. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 272 und efined on input line 27025. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 272 undefined on input line 27030. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 272 undefined on input line 27035 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 272 undefined on inpu t line 27040. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 272 und efined on input line 27045. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 272 undefined on input line 27050. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 272 undefined on input line 27055. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 272 undefined on input line 27060. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 272 undefined on input line 27065. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 272 undefined on input line 27070. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 27075. Underfull \hbox (badness 10000) in paragraph at lines 27082--27082 []\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- [272 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27113--27113 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [273] Overfull \hbox (137.00916pt too wide) in paragraph at lines 27227--27227 [] Underfull \hbox (badness 10000) in paragraph at lines 27227--27227 Overfull \hbox (12.23114pt too wide) in paragraph at lines 27228--27228 [] Underfull \hbox (badness 10000) in paragraph at lines 27228--27228 Underfull \hbox (badness 10000) in paragraph at lines 27261--27261 []\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 27261--27261 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [274] Underfull \hbox (badness 10000) in paragraph at lines 27292--27292 []\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 27292--27292 \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 27325--27325 \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 27325--27325 \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 275 undefined on input line 27330. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 275 undefined on input line 27339. [275] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 276 undefined on input line 27371. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 276 undefined on input line 27380. Underfull \hbox (badness 10000) in paragraph at lines 27440--27440 []\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 27440--27440 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [276] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 277 undefined on input line 27445. Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 []\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 277 undefined on input line 27520. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 277 undefined on input line 27525. 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 277 undefined on input line 27530. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 27535. Overfull \hbox (9.96457pt too wide) in paragraph at lines 27542--27542 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [277] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 278 undefined on input line 27549. Overfull \hbox (15.96457pt too wide) in paragraph at lines 27583--27583 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 27583--27583 \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 278 undefined on input line 27590. [278] Overfull \hbox (94.49048pt too wide) in paragraph at lines 27613--27615 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 27629--27629 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 27629--27629 \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 279 undefined on input line 27636. [279] Overfull \hbox (102.73972pt too wide) in paragraph at lines 27667--27670 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 280 undefined on input line 27703. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 280 undefin ed on input line 27708. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 280 undefined on input line 27713. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 280 undefined on input line 277 18. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 27723. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 280 undefined on input line 27752. 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 280 undefined on input line 27757. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 280 undefined on input line 27762. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 280 undefined on input line 27767. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 280 undefined on input line 27772. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 27777. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27799--27801 [] [280] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27828--27828 [] Underfull \hbox (badness 10000) in paragraph at lines 27828--27828 Underfull \hbox (badness 10000) in paragraph at lines 27884--27885 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [281] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 282 undefined on input l ine 27937. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 282 undefined on input line 27942. 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 282 undefined on input lin e 27947. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 282 undefined on input line 27952. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 282 undefined on input line 27957. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 282 undefined on input line 27962. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 282 undefined on input line 27967. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 27972. Overfull \hbox (27.03467pt too wide) in paragraph at lines 27979--27979 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 27979--27979 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 27979--27979 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27994--27996 [] [282 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28013--28013 []\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 , Overfull \hbox (57.78452pt too wide) in paragraph at lines 28041--28041 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 28050--28050 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28050--28050 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 28051--28051 [] Underfull \hbox (badness 10000) in paragraph at lines 28051--28051 [283] Underfull \hbox (badness 10000) in paragraph at lines 28135--28136 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 284 undefined on input line 28190. 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 284 undefined on i nput line 28195. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 284 undefined on input line 28200. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 284 undefined on input line 28205. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 284 undefined on input line 28210. [284 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 28215. Overfull \hbox (51.03467pt too wide) in paragraph at lines 28222--28222 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 28222--28222 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 28222--28222 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28237--28239 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 28256--28256 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 28265--28265 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 28265--28265 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 28265--28265 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28266--28266 [] Underfull \hbox (badness 10000) in paragraph at lines 28266--28266 [285] Underfull \hbox (badness 10000) in paragraph at lines 28322--28323 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 286 undefined on input line 28377. 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 286 undefined on input line 28382. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 286 undefined on input line 28387. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 286 undefin ed on input line 28392. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 286 undefined on input line 28397. [286 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 28402. Underfull \hbox (badness 10000) in paragraph at lines 28409--28409 []\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 28424--28426 [] Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 []\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 28453--28453 [] Underfull \hbox (badness 10000) in paragraph at lines 28453--28453 [287] Underfull \hbox (badness 10000) in paragraph at lines 28509--28510 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 288 undefined on input line 28553. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 288 undefined on input line 28558. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 288 undefined on input line 28563. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 28568. Underfull \hbox (badness 10000) in paragraph at lines 28575--28575 []\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 288 undefined on input li ne 28597. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 288 undefined on input line 28602. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 288 und efined on input line 28607. 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 288 undefined on input line 28612. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 288 u ndefined on input line 28617. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 288 u ndefined on input line 28622. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 288 undefined on input line 286 27. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 288 undefin ed on input line 28632. [288 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 28637. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28690--28692 [] [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 28841--28842 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 291 undefined on inpu t line 28891. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 291 undefined on input line 28896. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 291 undefined on input line 28901. 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 291 undefined on input line 28906. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 91 undefined on input line 28911. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 91 undefined on input line 28916. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 291 undefined on input line 28921. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 291 und efined on input line 28926. [291 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 28931. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28975--28977 [] [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 29123--29124 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. Underfull \hbox (badness 10000) in paragraph at lines 29151--29151 []\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 294 undef ined on input line 29175. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 294 undefined on input line 29180. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 294 undefined on input line 29185. 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 294 undefined on input line 29190. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 294 undefined on input line 29195. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 294 undefined on input line 29200. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 294 undefined o n input line 29205. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 294 undefined on input line 29210. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 29215. [294 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29250--29250 []\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 29265--29267 [] [295] [296] Underfull \hbox (badness 10000) in paragraph at lines 29413--29414 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 297 undefined on input line 29457. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 297 undefined on input line 29462 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 297 undefined on input line 29467. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 297 undefined on input line 29472. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 297 undefined on input line 29477. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 297 undefined on input line 29482. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 297 undefined on input li ne 29487. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 297 undefined on input line 29492. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 297 undefined on input line 29497. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 297 undefined on input line 29502. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 297 undefined on input line 29507. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 297 undefined on input line 29512. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 297 undefined on input line 29517. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 297 undefined on input line 29522. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 297 undefined on input line 29527. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 297 undefined on input line 29532. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 297 undefined on input line 29537. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 297 undefined on input line 29542. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 297 undefined on input line 29547. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 297 undefined on input line 29552. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 297 undefined on input line 29557. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 297 undefined on input line 29562. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 297 undefined on input line 29567. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 297 undefined on input line 29572. [297 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 29577. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 298 undefined on input line 29606. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 298 undefined on input line 29611. 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 298 undefined on input line 29616. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 298 undefined on input line 29621. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 298 undefined on input line 29626. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 298 undefined on inpu t line 29631. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 98 undefined on input line 29636. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 29641. Underfull \hbox (badness 10000) in paragraph at lines 29648--29648 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [298] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29663--29665 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29720--29720 [] Underfull \hbox (badness 10000) in paragraph at lines 29720--29720 [299] Underfull \hbox (badness 10000) in paragraph at lines 29804--29805 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 300 undefined on input line 29854. 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 300 undefined on input line 29859. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 300 undefined on input line 29864. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 300 undefined on input line 29869. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 300 undefined on input line 29874. [300 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 29879. Underfull \hbox (badness 10000) in paragraph at lines 29886--29886 []\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 29901--29903 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29930--29930 [] Underfull \hbox (badness 10000) in paragraph at lines 29930--29930 [301] Underfull \hbox (badness 10000) in paragraph at lines 29986--29987 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 302 undefined on input line 30036. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 302 undefined on in put line 30041. 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 302 undefined on input line 30046. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 302 undefined on input line 30051. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 302 undefined on input line 30056. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 302 undefined on input line 30061. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 302 undefined on input line 30066. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 30071. [302 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30093--30095 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30150--30150 [] Underfull \hbox (badness 10000) in paragraph at lines 30150--30150 [303] Underfull \hbox (badness 10000) in paragraph at lines 30234--30235 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [304] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 305 undefined on input line 30284. 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 305 undefined on input line 30289. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 305 und efined on input line 30294. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 305 undefined on input line 30299 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 305 undefined on input line 30304. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 30309. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30331--30333 [] [305 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30360--30360 [] Underfull \hbox (badness 10000) in paragraph at lines 30360--30360 Underfull \hbox (badness 10000) in paragraph at lines 30416--30417 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [306] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 307 undefined on input line 30466. 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 307 undefined on input line 30471. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 307 und efined on input line 30476. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 307 undefined on input line 30481 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 307 undefined on input line 30486. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 30491. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30513--30515 [] [307 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30542--30542 [] Underfull \hbox (badness 10000) in paragraph at lines 30542--30542 Underfull \hbox (badness 10000) in paragraph at lines 30598--30599 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [308] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 309 undefined on input line 30648. 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 309 undefined on input line 30653. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 3 09 undefined on input line 30658. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 309 undefined on input line 30663. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 309 und efined on input line 30668. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 30673. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30695--30697 [] [309 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30724--30724 [] Underfull \hbox (badness 10000) in paragraph at lines 30724--30724 Underfull \hbox (badness 10000) in paragraph at lines 30780--30781 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [310] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 311 undefined on input line 30830. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 311 undefined on input line 30835. 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 311 undefined on input line 30840. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 311 undefined on input line 30845. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 311 undefined on input line 30850. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 311 u ndefined on input line 30855. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 311 undefined on input line 30860. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 30865. Underfull \hbox (badness 10000) in paragraph at lines 30872--30872 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30872--30872 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 30872--30872 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30887--30889 [] [311 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 30934--30934 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30944--30944 [] Underfull \hbox (badness 10000) in paragraph at lines 30944--30944 [312] Underfull \hbox (badness 10000) in paragraph at lines 31028--31029 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 313 undefined on input line 31 078. 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 313 undefined on input line 3108 3. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 313 undefined on input line 31088. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 313 undefined on input line 31093. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 313 undefined on input line 31098. [313 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 31103. Overfull \hbox (9.03467pt too wide) in paragraph at lines 31110--31110 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 31110--31110 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 31110--31110 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31125--31127 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 31144--31144 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31154--31154 [] Underfull \hbox (badness 10000) in paragraph at lines 31154--31154 [314] Underfull \hbox (badness 10000) in paragraph at lines 31210--31211 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 315 undefined on input line 31260. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 315 undefined on inpu t line 31265. 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 3 15 undefined on input line 31270. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 315 undefined on in put line 31275. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 315 undefined on in put line 31280. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 315 undefined on input line 31285. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 315 undefined on input li ne 31290. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 31295. [315 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31317--31319 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31374--31374 [] Underfull \hbox (badness 10000) in paragraph at lines 31374--31374 [316] Underfull \hbox (badness 10000) in paragraph at lines 31458--31459 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [317] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 318 undefined on input line 31508. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.is_ defined_for_problem_type:evalml.objectives.F1Micro.is_defined_for_problem_type' on page 318 undefined on input line 31513. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 318 undef ined on input line 31518. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 318 undefined on input line 31523. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 318 undefined o n input line 31528. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 31533. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31555--31557 [] [318 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31584--31584 [] Underfull \hbox (badness 10000) in paragraph at lines 31584--31584 Underfull \hbox (badness 10000) in paragraph at lines 31640--31641 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [319] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 320 undefined on input line 31690. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.is_ defined_for_problem_type:evalml.objectives.F1Macro.is_defined_for_problem_type' on page 320 undefined on input line 31695. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 320 undef ined on input line 31700. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 320 undefined on input line 31705. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 320 undefined o n input line 31710. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 31715. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31737--31739 [] [320 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31766--31766 [] Underfull \hbox (badness 10000) in paragraph at lines 31766--31766 Underfull \hbox (badness 10000) in paragraph at lines 31822--31823 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [321] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 322 undefined on input line 31872. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. is_defined_for_problem_type:evalml.objectives.F1Weighted.is_defined_for_problem _type' on page 322 undefined on input line 31877. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 322 undefined on input line 31882. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 322 undefined on input line 3 1887. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 322 undef ined on input line 31892. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 31897. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31919--31921 [] [322 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31948--31948 [] Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 Underfull \hbox (badness 10000) in paragraph at lines 32004--32005 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [323] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 324 undefined on input line 32054. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 324 undefined on input line 32059. 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 324 undefined on input line 32064. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 324 undefined on input line 32069. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 324 undefined on input line 32074. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 324 undefined on input line 32079. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 324 undefined on input line 32084. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 32089. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32111--32113 [] [324 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32168--32168 [] Underfull \hbox (badness 10000) in paragraph at lines 32168--32168 [325] Underfull \hbox (badness 10000) in paragraph at lines 32252--32253 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 326 undefined on input line 32302. 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 326 undefined on input line 32307. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 326 undefined on input line 32312. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 326 undefined o n input line 32317. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 326 undefined on input line 32322. [326 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 32327. Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 []\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 32349--32351 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32378--32378 [] Underfull \hbox (badness 10000) in paragraph at lines 32378--32378 [327] Underfull \hbox (badness 10000) in paragraph at lines 32434--32435 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 328 undefined on input line 32484. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 328 und efined on input line 32489. 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 328 undefined on input line 32494. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 328 u ndefined on input line 32499. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 328 u ndefined on input line 32504. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 328 undefined on input line 325 09. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 328 undefin ed on input line 32514. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 32519. [328 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32541--32543 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32598--32598 [] Underfull \hbox (badness 10000) in paragraph at lines 32598--32598 [329] Underfull \hbox (badness 10000) in paragraph at lines 32682--32683 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [330] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 331 undefined on input line 32732. 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 331 undefined on input line 32737. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 331 undefined on input line 32742. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 331 undefined on input line 32747. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 331 undefined on input line 32752. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 32757. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32779--32781 [] [331 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32808--32808 [] Underfull \hbox (badness 10000) in paragraph at lines 32808--32808 Underfull \hbox (badness 10000) in paragraph at lines 32864--32865 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [332] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 333 undefined on input line 32914. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 333 und efined on input line 32919. 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 333 undefined on input line 32924. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 333 u ndefined on input line 32929. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 333 u ndefined on input line 32934. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 333 undefined on input line 329 39. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 333 undefin ed on input line 32944. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 32949. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32971--32973 [] [333 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33028--33028 [] Underfull \hbox (badness 10000) in paragraph at lines 33028--33028 [334] Underfull \hbox (badness 10000) in paragraph at lines 33112--33113 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 335 undefined on input line 33162. 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 335 undefined on input line 33167. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 335 undefined on input line 33172. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 335 undefined on inpu t line 33177. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 3 35 undefined on input line 33182. [335 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 33187. Underfull \hbox (badness 10000) in paragraph at lines 33194--33194 []\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 33209--33211 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33238--33238 [] Underfull \hbox (badness 10000) in paragraph at lines 33238--33238 [336] Underfull \hbox (badness 10000) in paragraph at lines 33294--33295 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 337 undefined on input line 33344. 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 337 undefined on input line 33349. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 337 undefined on input line 33354. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 337 undefined on inpu t line 33359. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 3 37 undefined on input line 33364. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 33369. [337 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33376--33376 []\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 33391--33393 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33420--33420 [] Underfull \hbox (badness 10000) in paragraph at lines 33420--33420 [338] Underfull \hbox (badness 10000) in paragraph at lines 33476--33477 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 339 undefined on input line 33526. 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 339 undefined on input line 33531. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 339 undefined on input line 33536. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 339 undefined o n input line 33541. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 339 undefined on input line 33546. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 33551. [339 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33558--33558 []\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 33573--33575 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33602--33602 [] Underfull \hbox (badness 10000) in paragraph at lines 33602--33602 [340] Underfull \hbox (badness 10000) in paragraph at lines 33658--33659 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 341 undefined on input line 33708. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 341 undefined on input line 33713. 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 341 undefined on input line 33718. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 341 undefin ed on input line 33723. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 341 undefin ed on input line 33728. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 341 undefined on input line 33733. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 341 undefined on input line 33738. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 33743. [341 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33765--33767 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33822--33822 [] Underfull \hbox (badness 10000) in paragraph at lines 33822--33822 [342] Underfull \hbox (badness 10000) in paragraph at lines 33906--33907 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [343] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 344 undefined on input line 33956. 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 344 undefined on input line 33961. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 3 44 undefined on input line 33966. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 344 undefined on input line 33971. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 344 und efined on input line 33976. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 33981. Overfull \hbox (10.35059pt too wide) in paragraph at lines 34003--34005 [] [344 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34032--34032 [] Underfull \hbox (badness 10000) in paragraph at lines 34032--34032 Underfull \hbox (badness 10000) in paragraph at lines 34088--34089 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [345] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 346 undefined on input line 34138. 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 346 undefined on input line 34143. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 3 46 undefined on input line 34148. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 346 undefined on input line 34153. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 346 und efined on input line 34158. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 34163. Overfull \hbox (10.35059pt too wide) in paragraph at lines 34185--34187 [] [346 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34214--34214 [] Underfull \hbox (badness 10000) in paragraph at lines 34214--34214 Underfull \hbox (badness 10000) in paragraph at lines 34270--34271 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [347] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 348 undefined on input line 34320. 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 348 undefined on input line 34325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 348 undefined on input line 34330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 348 undefined on inpu t line 34335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 3 48 undefined on input line 34340. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 34345. Underfull \hbox (badness 10000) in paragraph at lines 34352--34352 []\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 34367--34369 [] [348 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34396--34396 [] Underfull \hbox (badness 10000) in paragraph at lines 34396--34396 Underfull \hbox (badness 10000) in paragraph at lines 34452--34453 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [349] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 350 undefined on input line 34496. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 350 undefined on input line 34501. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 350 undefined on input line 34506. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 350 undefined on input line 345 11. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 350 undefined on input line 34516. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 350 undefined on input line 34521. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 350 undefined on input line 34526. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 350 undefined on input line 3 4531. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 350 undefined on input line 34536. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 34541. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 350 undefined on input line 34570. 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 50 undefined on input line 34575. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 350 undefined on in put line 34580. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 350 undefined on input line 34585. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 350 undefined on input li ne 34590. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 34595. [350 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34617--34619 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34646--34646 [] Underfull \hbox (badness 10000) in paragraph at lines 34646--34646 [351] Underfull \hbox (badness 10000) in paragraph at lines 34702--34703 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 352 undefined on input line 34752. 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 352 undefined on input line 34757. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 352 undefined on input line 34762. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 352 undefined on input line 34767. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 352 undefined on input line 34772. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 34777. [352 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34799--34801 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34828--34828 [] Underfull \hbox (badness 10000) in paragraph at lines 34828--34828 Underfull \hbox (badness 10000) in paragraph at lines 34884--34885 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [353] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 354 undefined on input line 34934. 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 354 undefined on input line 34939. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 354 undefined on input line 34944. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 354 undefined on input line 34949. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 354 undefined on input line 34954. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 34959. Overfull \hbox (10.35059pt too wide) in paragraph at lines 34981--34983 [] [354 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35010--35010 [] Underfull \hbox (badness 10000) in paragraph at lines 35010--35010 Underfull \hbox (badness 10000) in paragraph at lines 35066--35067 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [355] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 356 undefined on input line 35118. 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 356 undefined on input line 35123. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 356 undefined on input line 35128. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 356 undefin ed on input line 35133. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 356 undefined on input line 35138. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 35143. Underfull \hbox (badness 10000) in paragraph at lines 35150--35150 []\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 35165--35167 [] [356 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35194--35194 [] Underfull \hbox (badness 10000) in paragraph at lines 35194--35194 Underfull \hbox (badness 10000) in paragraph at lines 35250--35251 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [357] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 358 undefined on input line 35300. 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 358 undefined on input line 35305. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 358 und efined on input line 35310. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 358 undefined on input line 35315 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 358 undefined on input line 35320. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 35325. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35347--35349 [] [358 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35376--35376 [] Underfull \hbox (badness 10000) in paragraph at lines 35376--35376 Underfull \hbox (badness 10000) in paragraph at lines 35432--35433 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [359] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 360 undefined on input line 35482. 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 360 undefined on input line 35487. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 360 und efined on input line 35492. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 360 undefined on input line 35497 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 360 undefined on input line 35502. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 35507. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35529--35531 [] [360 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35558--35558 [] Underfull \hbox (badness 10000) in paragraph at lines 35558--35558 Underfull \hbox (badness 10000) in paragraph at lines 35614--35615 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [361] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 362 undefined on input line 35664. 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 362 undefined on input line 35669. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 3 62 undefined on input line 35674. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 362 undefined on input line 35679. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 362 und efined on input line 35684. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 35689. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35711--35713 [] [362 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35740--35740 [] Underfull \hbox (badness 10000) in paragraph at lines 35740--35740 Underfull \hbox (badness 10000) in paragraph at lines 35796--35797 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [363] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 364 undefined on input line 35846. 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 364 undefined on input line 35851. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 364 undefined on input line 35856. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 364 undef ined on input line 35861. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 364 undefined on input line 35866. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 35871. Overfull \hbox (10.35059pt too wide) in paragraph at lines 35893--35895 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 35912--35912 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [364 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35922--35922 [] Underfull \hbox (badness 10000) in paragraph at lines 35922--35922 Underfull \hbox (badness 10000) in paragraph at lines 35978--35979 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [365] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 366 undefined on input line 36030. 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 366 undefined on input line 36035. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 366 undefined on input line 36040. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 366 undefined on input line 36045. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 366 undefined on input line 36050. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 36055. Underfull \hbox (badness 10000) in paragraph at lines 36062--36062 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36062--36062 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 36062--36062 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36077--36079 [] [366 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 36096--36096 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 36106--36106 [] Underfull \hbox (badness 10000) in paragraph at lines 36106--36106 Underfull \hbox (badness 10000) in paragraph at lines 36162--36163 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [367] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 368 undefined on input line 36206. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 368 undefined on input line 362 11. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 368 undefined on inpu t line 36216. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 368 undefined on input line 36221. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 368 undefined on input line 36226. Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 36231. [368 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 369 undefined on input line 36321. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 369 undefined on input line 36363. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 369 undefined on input li ne 36368. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 369 undefined on input line 36373. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 36378. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 369 undefined on input line 36389. [369] Overfull \hbox (42.52957pt too wide) in paragraph at lines 36405--36407 [] Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 36478. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 370 undefined on input line 36504. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 370 undefined on input line 36509. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 36514. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 370 undefined on input line 36525. [370] Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 36612. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 371 undefined on input line 36638. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 371 undefined on input line 36643. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 371 undefined on input line 36648. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 371 undefined on input line 36653. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 36658. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 371 undefined on input line 36689. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 371 undefined on input line 36694. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 371 und efined on input line 36699. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 371 undefined on input line 36704. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 36709. [371] [372 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 373 undefined on input line 368 32. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 373 undefined on input line 36837. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 373 undefined on input line 36842. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 373 undefined on input line 36847 . Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 36852. [373] Underfull \hbox (badness 10000) in paragraph at lines 36953--36953 []\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 374 undefined on inpu t line 36983. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 374 undefined on input line 369 88. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 374 undefined on input line 36993. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 374 undefined on input line 36998. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 37003. [374 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [375] Underfull \hbox (badness 10000) in paragraph at lines 37111--37111 []\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 37111--37111 \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 376 undefined on input line 37141. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 376 undefined on input line 37146. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 376 undefined on input line 37151. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 376 undefined on in put line 37156. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 37161. Underfull \hbox (badness 10000) in paragraph at lines 37168--37168 []\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 , [376 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [377] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 378 undefined on input line 37293. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 378 undefined on input line 37298. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 378 undefined on input line 3 7303. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 378 undefined on input line 373 08. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 378 undefined on input line 37313. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 378 undefined on input line 37318 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 378 undefined on input line 3 7323. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 378 undefined on inpu t line 37328. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 37333. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 37368. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 378 undefined on input line 37389. [378 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 37394. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 379 undefined on input line 37417. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 37465. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 379 undefined on input line 37486. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 379 undefined on input line 37491. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 37496. [379 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 380 undefined on input line 37530. [380 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 37586. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 381 undefined on input line 37607. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 381 undefined on input line 37612. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 37617. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 381 undefined on input line 37657. [381] Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 37715. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 382 u ndefined on input line 37736. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 382 u ndefined on input line 37741. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 37746. [382 <./inheritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] [383 <./inhe ritance-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 37855. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 384 undefined on input line 37876. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 384 undefined on input line 37881. Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 37886. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 384 undefined on input line 37929. [384] Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 37989. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 385 und efined on input line 38010. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 385 und efined on input line 38015. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 38020. Underfull \hbox (badness 10000) in paragraph at lines 38030--38032 []\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 [385 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 38118. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 386 undefined on input line 38139. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 386 undefined on input line 38144. [386 <./inheritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 38149. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 387 undefined on input line 38190. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 387 undefined on input line 38190. [387 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 38238. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 388 undefined on input line 38259. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 388 undefined on input line 38264. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 38269. Underfull \hbox (badness 10000) in paragraph at lines 38277--38279 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 38304--38306 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 38320--38322 [] Overfull \vbox (146.69304pt too high) detected at line 38340 [388] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 389 undefined on input line 38371. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 389 undefined on input line 38376 . Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 38381. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 389 undefined on inpu t line 38410. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 389 undefined on inpu t line 38415. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 38420. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 389 undefined on input line 38431. [389 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 390 und efined on input line 38522. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 390 und efined on input line 38527. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 38532. [390 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 391 undefined on input line 38607. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 391 undefined on input line 38612. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 391 undefined on input line 38617. Package longtable Warning: Column widths have changed (longtable) in table 191 on input line 38622. Underfull \hbox (badness 10000) in paragraph at lines 38629--38629 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 391 undef ined on input line 38657. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.to_dict:evalml.data_checks.DataCheckMessage.to_dict' on page 391 undefin ed on input line 38662. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 391 undefin ed on input line 38667. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 391 undefined on input line 38672. Package longtable Warning: Column widths have changed (longtable) in table 192 on input line 38677. [391 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 392 undefined on input line 38695. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 392 undefined on input line 38779. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.to_dict:evalml.data_checks.DataCheckError.to_dict' on page 392 undefined o n input line 38784. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 392 undefined o n input line 38789. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 392 undefined on input line 38794. [392 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 193 on input line 38799. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 393 undefined on input line 38817. [393] Underfull \hbox (badness 10000) in paragraph at lines 38873--38873 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 394 undef ined on input line 38901. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.to_dict:evalml.data_checks.DataCheckWarning.to_dict' on page 394 undefin ed on input line 38906. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 394 undefin ed on input line 38911. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 394 undefined on input line 38916. Package longtable Warning: Column widths have changed (longtable) in table 194 on input line 38921. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 394 undefined on input line 38939. [394 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 395 undefined on input line 39011. Package longtable Warning: Column widths have changed (longtable) in table 195 on input line 39016. Package longtable Warning: Column widths have changed (longtable) in table 196 on input line 39055. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageCo de:evalml.data_checks.DataCheckMessageCode' on page 395 undefined on input line 39081. Package longtable Warning: Column widths have changed (longtable) in table 197 on input line 39086. [395 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 198 on input line 39180. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 396 undefined on input line 39209. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 396 undefined on input line 39214. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 396 undefined on input line 39219. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 396 undefined on input line 39224. LaTeX Warning: Hyper reference `generated/evalml.utils.pad_with_nans:evalml.uti ls.pad_with_nans' on page 396 undefined on input line 39229. LaTeX Warning: Hyper reference `generated/evalml.utils.drop_rows_with_nans:eval ml.utils.drop_rows_with_nans' on page 396 undefined on input line 39234. Package longtable Warning: Column widths have changed (longtable) in table 199 on input line 39239. [396] [397] [398] Chapter 6. [399] Underfull \hbox (badness 10000) in paragraph at lines 39547--39548 []\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 39547--39548 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [400] Underfull \hbox (badness 10000) in paragraph at lines 39561--39562 []\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 39579--39580 []\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 39594--39595 []\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 [401] [402] Underfull \hbox (badness 10000) in paragraph at lines 39757--39758 []\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 39843--39844 []\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 [403] [404] Underfull \hbox (badness 10000) in paragraph at lines 40057--40060 [] Overfull \vbox (0.89006pt too high) detected at line 40081 [405] [406] [407] Underfull \hbox (badness 10000) in paragraph at lines 40279--40280 []\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 40306--40307 []\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 40309--40310 []\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 40333--40334 []\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. [408] Underfull \hbox (badness 10000) in paragraph at lines 40397--40398 []\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 40441--40442 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [409] Underfull \hbox (badness 10000) in paragraph at lines 40531--40532 []\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 [410] Underfull \hbox (badness 10000) in paragraph at lines 40609--40610 []\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 40615--40616 []\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 40651--40652 []\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 [411] Underfull \hbox (badness 5374) in paragraph at lines 40667--40668 []\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 [412] Underfull \hbox (badness 10000) in paragraph at lines 40753--40754 []\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 [413] [414] Underfull \hbox (badness 10000) in paragraph at lines 40990--40991 []\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 40996--40997 []\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 , [415] Underfull \hbox (badness 10000) in paragraph at lines 41130--41131 []\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. [416] Underfull \hbox (badness 10000) in paragraph at lines 41148--41149 []\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 41190--41191 []\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 41193--41194 []\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. [417] Underfull \hbox (badness 8113) in paragraph at lines 41264--41265 []\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 41270--41271 []\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 41288--41289 []\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 [418] Underfull \hbox (badness 10000) in paragraph at lines 41449--41450 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [419] [420] [421] [422] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [423] (./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 (427 pages, 1885133 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 (1126 entries accepted, 0 rejected). Sorting entries............done (12459 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (2091 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] [7] [8] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.650 ...t=1840.0\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.650 ...t=1840.0\sphinxpxdimen]{{start_22_0}.svg} [9] [10] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [11] [12] [13] Overfull \vbox (2.03934pt too high) detected at line 1038 [14] [15] [16] [17] [18] [19] [20] Underfull \vbox (badness 10000) detected at line 1674 Overfull \vbox (2.68169pt too high) detected at line 1674 [21] Underfull \vbox (badness 10000) detected at line 1674 Overfull \vbox (24.68169pt too high) detected at line 1674 [22] [23] [24] Overfull \vbox (12.997pt too high) detected at line 1899 [25] Overfull \vbox (2.88167pt too high) detected at line 2060 [26] Underfull \vbox (badness 10000) detected at line 2060 Overfull \vbox (24.68169pt too high) detected at line 2060 [27] Underfull \vbox (badness 10000) detected at line 2060 Overfull \vbox (13.68169pt too high) detected at line 2060 [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3108 ...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.3108 ...inxpxdimen]{{demos_text_input_19_0}.svg} [40] [41] [42] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3370 ...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.3370 ...inxpxdimen]{{demos_text_input_33_0}.svg} Underfull \vbox (badness 2173) detected at line 3453 [43] [44] Chapter 4. [45] Overfull \vbox (11.98256pt too high) detected at line 3635 [46] [47] Underfull \hbox (badness 10000) in paragraph at lines 3688--3689 []\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.3777 ...]{{keyboard_interrupt_demo_updated}.gif} [48] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3777 ...]{{keyboard_interrupt_demo_updated}.gif} [49] [50] [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4269 Overfull \vbox (2.68169pt too high) detected at line 4269 [54] [55] Overfull \vbox (2.88167pt too high) detected at line 4425 [56] Underfull \vbox (badness 10000) detected at line 4467 Overfull \vbox (31.28166pt too high) detected at line 4467 [57] Underfull \hbox (badness 10000) in paragraph at lines 4532--4533 []\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 , [58] [59] [60] Underfull \vbox (badness 10000) detected at line 4733 Overfull \vbox (2.68169pt too high) detected at line 4733 [61] [62] [63] [64] [65] Underfull \vbox (badness 10000) detected at line 5109 Underfull \vbox (badness 10000) detected at line 5109 [66] [67] [68] [69] [70] Underfull \hbox (badness 10000) in paragraph at lines 5439--5441 \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 , [71] [72] [73] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5707 ...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.5707 ...xdimen]{{user_guide_pipelines_16_0}.svg} [74] [75] [76] Underfull \vbox (badness 10000) detected at line 6072 [77] [78] [79] [80] [81] [82] [83] [84] [85] Underfull \vbox (badness 10000) detected at line 6786 Overfull \vbox (13.68169pt too high) detected at line 6786 [86] Overfull \vbox (9.28165pt too high) detected at line 6867 [87] [88] Underfull \vbox (badness 10000) detected at line 7014 Overfull \vbox (2.68169pt too high) detected at line 7014 [89] [90] [91] [92] [93] [94] [95] [96] [97] [98] Underfull \vbox (badness 10000) detected at line 7850 Overfull \vbox (2.68169pt too high) detected at line 7850 [99] Underfull \vbox (badness 10000) detected at line 7850 Overfull \vbox (2.68169pt too high) detected at line 7850 [100] [101] [102] Chapter 5. [103] [104] [105] Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 []\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 8316--8316 \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 8316--8316 \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 8316--8316 \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 8316--8316 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/pt m/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver - Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 []\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 8380--8380 \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 8380--8380 \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 8380--8380 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bos e=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 op- Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 \T1/ptm/m/it/10 ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-sem -bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , [106] Underfull \hbox (badness 7869) in paragraph at lines 8428--8432 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [107] [108] [109] Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [110 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8842--8842 []\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 , [111] Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \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 8952--8952 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , [112 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8996--8996 []\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 8996--8996 \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 , [113] [114 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9200--9200 []\T1/ptm/m/it/10 exception\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trace-back\T1/ptm/m /n/10 , \T1/ptm/m/it/10 au-toml\T1/ptm/m/n/10 , Underfull \hbox (badness 5908) in paragraph at lines 9260--9262 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [115] [116] [117] Underfull \hbox (badness 7064) in paragraph at lines 9618--9619 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [118] Underfull \hbox (badness 10000) in paragraph at lines 9671--9672 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [119 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] [120] Underfull \hbox (badness 10000) in paragraph at lines 9942--9944 []\T1/ptm/m/n/10 by sorted(set(y)) [121] Underfull \hbox (badness 7064) in paragraph at lines 10056--10057 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [122] Underfull \hbox (badness 10000) in paragraph at lines 10131--10132 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [123 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] [124] Underfull \hbox (badness 10000) in paragraph at lines 10407--10409 []\T1/ptm/m/n/10 by sorted(set(y)) [125] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10478--10478 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10521--10522 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10547--10549 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [126] Underfull \hbox (badness 10000) in paragraph at lines 10596--10597 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10630--10630 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [127 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 10867--10869 []\T1/ptm/m/n/10 by sorted(set(y)) [129] Overfull \hbox (30.95404pt too wide) in paragraph at lines 10938--10938 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10981--10982 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [130] Underfull \hbox (badness 10000) in paragraph at lines 11056--11057 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [131 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [132] [133] Underfull \hbox (badness 7064) in paragraph at lines 11428--11429 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [134] Underfull \hbox (badness 7064) in paragraph at lines 11481--11482 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [135 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] [136] [137] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11812--11812 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11855--11856 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138] Underfull \hbox (badness 10000) in paragraph at lines 11911--11912 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [139 <./inheritance-fc786ac575013825c5f71c8953dfdc8bb979190b.pdf>] [140] Underfull \hbox (badness 10000) in paragraph at lines 12266--12268 []\T1/ptm/m/n/10 by sorted(set(y)) [141] Underfull \hbox (badness 7064) in paragraph at lines 12380--12381 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 12406--12408 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [142] Underfull \hbox (badness 10000) in paragraph at lines 12455--12456 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [143 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [144] Underfull \hbox (badness 10000) in paragraph at lines 12762--12764 []\T1/ptm/m/n/10 by sorted(set(y)) [145] Underfull \hbox (badness 7064) in paragraph at lines 12876--12877 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [146] Underfull \hbox (badness 10000) in paragraph at lines 12951--12952 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [147] [148 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [149] Underfull \hbox (badness 10000) in paragraph at lines 13263--13265 []\T1/ptm/m/n/10 by sorted(set(y)) [150] Underfull \hbox (badness 7064) in paragraph at lines 13377--13378 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 13403--13405 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [151] Underfull \hbox (badness 10000) in paragraph at lines 13452--13453 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 13486--13486 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [153] Underfull \hbox (badness 10000) in paragraph at lines 13759--13761 []\T1/ptm/m/n/10 by sorted(set(y)) [154] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13830--13830 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13873--13874 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [155] Underfull \hbox (badness 10000) in paragraph at lines 13948--13949 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [156 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [157] [158] [159] Underfull \hbox (badness 7064) in paragraph at lines 14389--14390 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 14442--14443 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160] Underfull \hbox (badness 10000) in paragraph at lines 14476--14476 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [161 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [162] Overfull \hbox (18.95404pt too wide) in paragraph at lines 14807--14807 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 7064) in paragraph at lines 14850--14851 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 14903--14904 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] Underfull \hbox (badness 10000) in paragraph at lines 14975--14975 []\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- Underfull \hbox (badness 10000) in paragraph at lines 15014--15014 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- [165 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Overfull \hbox (78.19925pt too wide) in paragraph at lines 15015--15019 [] Underfull \hbox (badness 10000) in paragraph at lines 15110--15110 []\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 15110--15110 \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 , [166] Underfull \hbox (badness 10000) in paragraph at lines 15169--15169 []\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 , [167] Underfull \hbox (badness 10000) in paragraph at lines 15304--15304 []\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 15304--15304 \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 , [168 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [169] [170] Underfull \hbox (badness 10000) in paragraph at lines 15573--15573 []\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 , [171 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [172] [173 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15889--15889 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [174] Underfull \hbox (badness 10000) in paragraph at lines 16034--16034 []\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 16113--16115 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 16354--16354 []\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 , [177 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 16433--16435 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [178] [179] Underfull \hbox (badness 10000) in paragraph at lines 16674--16674 \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 16674--16674 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [180 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [181] [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17075--17075 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17075--17075 \T1/ptm/m/it/10 han-dle_unknown='value'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [184 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17204--17204 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown='value'\T1/ptm/m/n/10 , \T1/ptm/m/i t/10 han- [185] [186] Underfull \hbox (badness 10000) in paragraph at lines 17435--17435 []\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 17435--17435 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [187 <./inheritance-3522f6f5a8ab432eb444da6674f5ed888fe40b1e.pdf>] Overfull \hbox (5.61217pt too wide) in paragraph at lines 17559--17559 []\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 , Underfull \hbox (badness 7504) in paragraph at lines 17564--17568 []\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, [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 17770--17770 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17770--17770 \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 17770--17770 \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 17770--17770 \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 , [190 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17894--17894 []\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 , [191] [192] Overfull \hbox (62.0307pt too wide) in paragraph at lines 18070--18072 [] Underfull \hbox (badness 10000) in paragraph at lines 18108--18108 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18108--18108 \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 , [193 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [194] [195] Overfull \hbox (62.0307pt too wide) in paragraph at lines 18404--18406 [] [196 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [197] [198] Overfull \hbox (19.00412pt too wide) in paragraph at lines 18757--18757 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \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 18757--18757 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [199 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18886--18886 []\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 18886--18886 \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 18886--18886 \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 , [200] [201] Overfull \hbox (25.00412pt too wide) in paragraph at lines 19093--19093 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \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 19093--19093 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19222--19222 []\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 19222--19222 \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 19222--19222 \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 , [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 19429--19429 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [205 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [206] [207] [208 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [209] [210] Underfull \hbox (badness 10000) in paragraph at lines 20077--20077 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [211 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [212] [213] Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [214 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20527--20527 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 20527--20527 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 20813--20813 []\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 20813--20813 \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 20813--20813 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [217 <./inheritance-3e3816801b44ab840cb849deb667decb78b6ea15.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20961--20961 []\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 20961--20961 \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 , [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 21140--21140 []\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 21140--21140 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21140--21140 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [220 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [223 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21589--21589 []\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 21589--21589 \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 , [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 21768--21768 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21768--21768 \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 , [226 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21903--21903 []\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- [227] Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \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 22082--22082 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [228 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22227--22227 \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 22227--22227 \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- [229] [230] Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [231 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22541--22541 []\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 22541--22541 \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- [232] [233] Underfull \hbox (badness 10000) in paragraph at lines 22720--22720 []\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 22720--22720 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22720--22720 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [235] [236] Underfull \hbox (badness 10000) in paragraph at lines 23044--23044 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [237 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [238] [239] Overfull \hbox (7.27411pt too wide) in paragraph at lines 23376--23376 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [240 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23511--23511 []\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 , [241] [242] Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 23855--23855 []\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 23855--23855 \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 , [244] [245] Underfull \hbox (badness 10000) in paragraph at lines 24104--24104 []\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 24104--24104 \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 24104--24104 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [246 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24252--24252 []\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 24252--24252 \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 , [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 24431--24431 []\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 24431--24431 \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 24431--24431 \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 , [249 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 24745--24745 []\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 24745--24745 \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- [252 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [253] Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [254 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25194--25194 []\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 25194--25194 \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 , [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 25373--25373 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25373--25373 \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 25373--25373 \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 , [257 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 []\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- [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 25687--25687 []\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 25687--25687 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25687--25687 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [260 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 26011--26011 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [264] [265] Overfull \hbox (1.27411pt too wide) in paragraph at lines 26338--26338 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26338--26338 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 26338--26338 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 26338--26338 \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 26338--26338 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [266 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26473--26473 []\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 , [267] [268] Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [269 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26817--26817 []\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 26817--26817 \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 , [270] [271] Underfull \hbox (badness 10000) in paragraph at lines 27082--27082 []\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- [272 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27113--27113 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [273] Overfull \hbox (137.00916pt too wide) in paragraph at lines 27227--27227 [] Underfull \hbox (badness 10000) in paragraph at lines 27227--27227 Overfull \hbox (12.23114pt too wide) in paragraph at lines 27228--27228 [] Underfull \hbox (badness 10000) in paragraph at lines 27228--27228 Underfull \hbox (badness 10000) in paragraph at lines 27261--27261 []\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 27261--27261 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [274] Underfull \hbox (badness 10000) in paragraph at lines 27292--27292 []\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 27292--27292 \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 27325--27325 \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 27325--27325 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [275] Underfull \hbox (badness 10000) in paragraph at lines 27440--27440 []\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 27440--27440 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [276] Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 []\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 27542--27542 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [277] Overfull \hbox (15.96457pt too wide) in paragraph at lines 27583--27583 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [278] Overfull \hbox (94.49048pt too wide) in paragraph at lines 27613--27615 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 27629--27629 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [279] Overfull \hbox (102.73972pt too wide) in paragraph at lines 27667--27670 [] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27799--27801 [] [280] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27828--27828 [] Underfull \hbox (badness 10000) in paragraph at lines 27828--27828 Underfull \hbox (badness 10000) in paragraph at lines 27884--27885 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [281] Overfull \hbox (27.03467pt too wide) in paragraph at lines 27979--27979 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 27979--27979 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 27979--27979 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27994--27996 [] [282 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28013--28013 []\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 , Overfull \hbox (57.78452pt too wide) in paragraph at lines 28041--28041 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 28050--28050 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28050--28050 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 28051--28051 [] Underfull \hbox (badness 10000) in paragraph at lines 28051--28051 [283] Underfull \hbox (badness 10000) in paragraph at lines 28135--28136 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [284 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 28222--28222 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 28222--28222 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 28222--28222 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28237--28239 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 28256--28256 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 28265--28265 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 28265--28265 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 28265--28265 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28266--28266 [] Underfull \hbox (badness 10000) in paragraph at lines 28266--28266 [285] Underfull \hbox (badness 10000) in paragraph at lines 28322--28323 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [286 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28409--28409 []\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 28424--28426 [] Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 []\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 28453--28453 [] Underfull \hbox (badness 10000) in paragraph at lines 28453--28453 [287] Underfull \hbox (badness 10000) in paragraph at lines 28509--28510 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. Underfull \hbox (badness 10000) in paragraph at lines 28575--28575 []\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 , [288 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28690--28692 [] [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 28841--28842 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [291 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28975--28977 [] [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 29123--29124 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. Underfull \hbox (badness 10000) in paragraph at lines 29151--29151 []\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 , [294 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29250--29250 []\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 29265--29267 [] [295] [296] Underfull \hbox (badness 10000) in paragraph at lines 29413--29414 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [297 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29648--29648 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [298] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29663--29665 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29720--29720 [] Underfull \hbox (badness 10000) in paragraph at lines 29720--29720 [299] Underfull \hbox (badness 10000) in paragraph at lines 29804--29805 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [300 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29886--29886 []\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 29901--29903 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29930--29930 [] Underfull \hbox (badness 10000) in paragraph at lines 29930--29930 [301] Underfull \hbox (badness 10000) in paragraph at lines 29986--29987 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [302 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30093--30095 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30150--30150 [] Underfull \hbox (badness 10000) in paragraph at lines 30150--30150 [303] Underfull \hbox (badness 10000) in paragraph at lines 30234--30235 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [304] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30331--30333 [] [305 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30360--30360 [] Underfull \hbox (badness 10000) in paragraph at lines 30360--30360 Underfull \hbox (badness 10000) in paragraph at lines 30416--30417 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30513--30515 [] [307 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30542--30542 [] Underfull \hbox (badness 10000) in paragraph at lines 30542--30542 Underfull \hbox (badness 10000) in paragraph at lines 30598--30599 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30695--30697 [] [309 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30724--30724 [] Underfull \hbox (badness 10000) in paragraph at lines 30724--30724 Underfull \hbox (badness 10000) in paragraph at lines 30780--30781 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [310] Underfull \hbox (badness 10000) in paragraph at lines 30872--30872 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30872--30872 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 30872--30872 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30887--30889 [] [311 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 30934--30934 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30944--30944 [] Underfull \hbox (badness 10000) in paragraph at lines 30944--30944 [312] Underfull \hbox (badness 10000) in paragraph at lines 31028--31029 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [313 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 31110--31110 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 31110--31110 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 31110--31110 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31125--31127 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 31144--31144 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31154--31154 [] Underfull \hbox (badness 10000) in paragraph at lines 31154--31154 [314] Underfull \hbox (badness 10000) in paragraph at lines 31210--31211 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [315 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31317--31319 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31374--31374 [] Underfull \hbox (badness 10000) in paragraph at lines 31374--31374 [316] Underfull \hbox (badness 10000) in paragraph at lines 31458--31459 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [317] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31555--31557 [] [318 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31584--31584 [] Underfull \hbox (badness 10000) in paragraph at lines 31584--31584 Underfull \hbox (badness 10000) in paragraph at lines 31640--31641 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [319] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31737--31739 [] [320 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31766--31766 [] Underfull \hbox (badness 10000) in paragraph at lines 31766--31766 Underfull \hbox (badness 10000) in paragraph at lines 31822--31823 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [321] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31919--31921 [] [322 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31948--31948 [] Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 Underfull \hbox (badness 10000) in paragraph at lines 32004--32005 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [323] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32111--32113 [] [324 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32168--32168 [] Underfull \hbox (badness 10000) in paragraph at lines 32168--32168 [325] Underfull \hbox (badness 10000) in paragraph at lines 32252--32253 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [326 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 []\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 32349--32351 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32378--32378 [] Underfull \hbox (badness 10000) in paragraph at lines 32378--32378 [327] Underfull \hbox (badness 10000) in paragraph at lines 32434--32435 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [328 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32541--32543 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32598--32598 [] Underfull \hbox (badness 10000) in paragraph at lines 32598--32598 [329] Underfull \hbox (badness 10000) in paragraph at lines 32682--32683 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [330] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32779--32781 [] [331 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32808--32808 [] Underfull \hbox (badness 10000) in paragraph at lines 32808--32808 Underfull \hbox (badness 10000) in paragraph at lines 32864--32865 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [332] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32971--32973 [] [333 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33028--33028 [] Underfull \hbox (badness 10000) in paragraph at lines 33028--33028 [334] Underfull \hbox (badness 10000) in paragraph at lines 33112--33113 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [335 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33194--33194 []\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 33209--33211 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33238--33238 [] Underfull \hbox (badness 10000) in paragraph at lines 33238--33238 [336] Underfull \hbox (badness 10000) in paragraph at lines 33294--33295 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [337 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33376--33376 []\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 33391--33393 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33420--33420 [] Underfull \hbox (badness 10000) in paragraph at lines 33420--33420 [338] Underfull \hbox (badness 10000) in paragraph at lines 33476--33477 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [339 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33558--33558 []\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 33573--33575 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33602--33602 [] Underfull \hbox (badness 10000) in paragraph at lines 33602--33602 [340] Underfull \hbox (badness 10000) in paragraph at lines 33658--33659 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [341 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33765--33767 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33822--33822 [] Underfull \hbox (badness 10000) in paragraph at lines 33822--33822 [342] Underfull \hbox (badness 10000) in paragraph at lines 33906--33907 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [343] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34003--34005 [] [344 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34032--34032 [] Underfull \hbox (badness 10000) in paragraph at lines 34032--34032 Underfull \hbox (badness 10000) in paragraph at lines 34088--34089 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [345] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34185--34187 [] [346 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34214--34214 [] Underfull \hbox (badness 10000) in paragraph at lines 34214--34214 Underfull \hbox (badness 10000) in paragraph at lines 34270--34271 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [347] Underfull \hbox (badness 10000) in paragraph at lines 34352--34352 []\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 34367--34369 [] [348 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34396--34396 [] Underfull \hbox (badness 10000) in paragraph at lines 34396--34396 Underfull \hbox (badness 10000) in paragraph at lines 34452--34453 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [349] [350 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34617--34619 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34646--34646 [] Underfull \hbox (badness 10000) in paragraph at lines 34646--34646 [351] Underfull \hbox (badness 10000) in paragraph at lines 34702--34703 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [352 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34799--34801 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34828--34828 [] Underfull \hbox (badness 10000) in paragraph at lines 34828--34828 Underfull \hbox (badness 10000) in paragraph at lines 34884--34885 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [353] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34981--34983 [] [354 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35010--35010 [] Underfull \hbox (badness 10000) in paragraph at lines 35010--35010 Underfull \hbox (badness 10000) in paragraph at lines 35066--35067 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [355] Underfull \hbox (badness 10000) in paragraph at lines 35150--35150 []\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 35165--35167 [] [356 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35194--35194 [] Underfull \hbox (badness 10000) in paragraph at lines 35194--35194 Underfull \hbox (badness 10000) in paragraph at lines 35250--35251 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [357] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35347--35349 [] [358 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35376--35376 [] Underfull \hbox (badness 10000) in paragraph at lines 35376--35376 Underfull \hbox (badness 10000) in paragraph at lines 35432--35433 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [359] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35529--35531 [] [360 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35558--35558 [] Underfull \hbox (badness 10000) in paragraph at lines 35558--35558 Underfull \hbox (badness 10000) in paragraph at lines 35614--35615 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [361] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35711--35713 [] [362 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35740--35740 [] Underfull \hbox (badness 10000) in paragraph at lines 35740--35740 Underfull \hbox (badness 10000) in paragraph at lines 35796--35797 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [363] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35893--35895 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 35912--35912 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [364 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35922--35922 [] Underfull \hbox (badness 10000) in paragraph at lines 35922--35922 Underfull \hbox (badness 10000) in paragraph at lines 35978--35979 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [365] Underfull \hbox (badness 10000) in paragraph at lines 36062--36062 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36062--36062 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 36062--36062 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36077--36079 [] [366 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 36096--36096 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 36106--36106 [] Underfull \hbox (badness 10000) in paragraph at lines 36106--36106 Underfull \hbox (badness 10000) in paragraph at lines 36162--36163 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [367] [368 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [369] Overfull \hbox (42.52957pt too wide) in paragraph at lines 36405--36407 [] [370] [371] [372 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [373] Underfull \hbox (badness 10000) in paragraph at lines 36953--36953 []\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- [374 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [375] Underfull \hbox (badness 10000) in paragraph at lines 37111--37111 []\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 37111--37111 \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 37168--37168 []\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 , [376 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [377] [378 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [379 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [380 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [381] [382 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [383 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [384] Underfull \hbox (badness 10000) in paragraph at lines 38030--38032 []\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 [385 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [386 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [387 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38277--38279 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 38304--38306 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 38320--38322 [] Overfull \vbox (146.69304pt too high) detected at line 38340 [388] [389 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [390 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38629--38629 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [391 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [392 <./inhe ritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [393] Underfull \hbox (badness 10000) in paragraph at lines 38873--38873 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [394 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] [395 <./inhe ritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] [396] [397] [398] Chapter 6. [399] Underfull \hbox (badness 10000) in paragraph at lines 39547--39548 []\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 39547--39548 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [400] Underfull \hbox (badness 10000) in paragraph at lines 39561--39562 []\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 39579--39580 []\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 39594--39595 []\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 [401] [402] Underfull \hbox (badness 10000) in paragraph at lines 39757--39758 []\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 39843--39844 []\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 [403] [404] Underfull \hbox (badness 10000) in paragraph at lines 40057--40060 [] Overfull \vbox (0.89006pt too high) detected at line 40081 [405] [406] [407] Underfull \hbox (badness 10000) in paragraph at lines 40279--40280 []\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 40306--40307 []\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 40309--40310 []\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 40333--40334 []\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. [408] Underfull \hbox (badness 10000) in paragraph at lines 40397--40398 []\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 40441--40442 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [409] Underfull \hbox (badness 10000) in paragraph at lines 40531--40532 []\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 [410] Underfull \hbox (badness 10000) in paragraph at lines 40609--40610 []\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 40615--40616 []\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 40651--40652 []\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 [411] Underfull \hbox (badness 5374) in paragraph at lines 40667--40668 []\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 [412] Underfull \hbox (badness 10000) in paragraph at lines 40753--40754 []\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 [413] [414] Underfull \hbox (badness 10000) in paragraph at lines 40990--40991 []\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 40996--40997 []\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 , [415] Underfull \hbox (badness 10000) in paragraph at lines 41130--41131 []\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. [416] Underfull \hbox (badness 10000) in paragraph at lines 41148--41149 []\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 41190--41191 []\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 41193--41194 []\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. [417] Underfull \hbox (badness 8113) in paragraph at lines 41264--41265 []\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 41270--41271 []\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 41288--41289 []\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 [418] Underfull \hbox (badness 10000) in paragraph at lines 41449--41450 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [419] [420] [421] [422] (./feature-labs-inc-evalml.ind [423] [424] 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 (23.86009pt 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.Ti meSeriesRegressionPipeline Overfull \hbox (26.02017pt 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.BaselineClassifier Overfull \hbox (27.46036pt 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.BaselineRegressor Overfull \hbox (28.81021pt 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.CatBoostClassifier Overfull \hbox (30.2504pt 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.CatBoostRegressor Overfull \hbox (18.79085pt 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.ComponentBase Overfull \hbox (33.60025pt 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.DateTimeFeaturizer Overfull \hbox (44.53993pt 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.DecisionTreeClassifier Overfull \hbox (45.98012pt 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.DecisionTreeRegressor Overfull \hbox (66.96011pt 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.DelayedFeatureTransformer [425] Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt too wide) 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt too wide) 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.ExtraTreesClassifier Overfull \hbox (36.39029pt 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.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (34.36026pt 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.LightGBMClassifier Overfull \hbox (19.69048pt 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.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier Overfull \hbox (18.78084pt 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.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 135--137 []\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 137--139 []\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 139--141 []\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 142--143 []\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 145--147 []\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 147--149 []\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 149--151 []\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 157--158 []\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 160--162 []\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 162--164 []\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 165--167 []\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 171--173 []\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 177--178 []\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 178--179 []\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 179--180 []\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 180--182 []\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 182--183 []\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 183--184 []\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 184--186 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [426] Underfull \hbox (badness 10000) in paragraph at lines 188--190 []\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 190--192 []\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 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class 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 197--199 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class 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 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class 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.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 209--211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 211--213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective 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.CostBenefitMatrix class 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 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 10000) in paragraph at lines 219--221 \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 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 221--223 \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 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 225--227 \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 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.LogLossBinary class 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 231--233 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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 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.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() 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 239--241 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 243--245 \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 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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.ObjectiveBase 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.Precision class method\T1/ptm /m/n/10 ), 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 253--255 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class 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.PrecisionMicro class 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 257--259 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class 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.Recall class method\T1/ptm/m/ n/10 ), 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 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() [427] 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.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 269--271 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 271--273 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 273--275 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 275--277 []\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 277--279 []\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 279--281 []\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 281--283 []\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 283--284 []\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 284--285 []\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 285--287 []\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 291--293 []\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 293--295 []\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 295--297 []\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 297--299 []\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 299--301 []\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 301--303 []\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 303--305 []\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 305--307 []\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 307--309 []\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 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Overfull \hbox (48.96011pt 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.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 313--315 []\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 315--317 []\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 317--319 []\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 319--321 []\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 321--322 []\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 322--324 []\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 324--326 []\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 326--327 []\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 327--329 []\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 329--331 []\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 331--333 []\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 333--335 []\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 335--337 []\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 337--339 []\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 339--341 []\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 341--343 []\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 343--345 []\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 349--351 []\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 351--353 []\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 357--359 []\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 359--361 []\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 361--363 []\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 363--365 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor [428] Overfull \hbox (19.18016pt too wide) in paragraph at lines 365--367 []\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 367--369 []\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 369--371 []\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 371--373 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 377--379 []\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 379--381 []\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 381--383 []\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 383--385 []\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 385--387 []\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 387--389 []\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 389--390 []\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 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.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline 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.BinaryClassificationPipeline 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 398--400 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 400--402 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 402--404 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 402--404 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 408--410 \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 410--412 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\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 418--420 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 418--420 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 420--422 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 422--424 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 424--426 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 424--426 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 426--428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 428--430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt 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.B aselineBinaryPipeline Overfull \hbox (18.41pt 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.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 434--436 []\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 436--438 []\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 440--442 []\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 442--444 []\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 444--446 []\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 446--448 []\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 448--449 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- [429] Overfull \hbox (29.86009pt too wide) in paragraph at lines 451--453 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 459--460 []\T1/pcr/m/n/10 DataCheckMessageCode \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 460--461 []\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 463--465 []\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 465--467 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 465--467 \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 467--468 []\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 468--470 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 468--470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 470--472 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 470--472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 472--474 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 474--475 []\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 475--477 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 477--479 \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 479--481 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 479--481 \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 481--483 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 481--483 \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 485--486 []\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 486--488 []\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 488--490 []\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 490--492 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 490--492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 492--494 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 492--494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 496--498 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 496--498 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 504--506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 508--510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 510--512 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 512--514 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 512--514 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 516--518 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 518--520 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 518--520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 520--522 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 520--522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 524--526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 526--528 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 526--528 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier [430] Underfull \hbox (badness 10000) in paragraph at lines 528--530 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 528--530 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 530--532 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 530--532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 532--534 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 532--534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 534--536 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 534--536 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 536--538 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 536--538 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 538--540 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 538--540 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 540--542 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 540--542 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 542--544 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 542--544 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 544--546 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 544--546 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 546--548 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 546--548 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 548--550 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 548--550 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 550--552 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 550--552 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 552--554 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 552--554 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 554--556 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 554--556 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 556--558 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 558--560 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 558--560 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 560--562 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 560--562 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 562--564 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 562--564 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 564--566 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 564--566 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 566--568 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 566--568 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 569--571 []\T1/pcr/m/n/10 DelayedFeatureTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Overfull \hbox (12.41pt too wide) in paragraph at lines 573--575 []\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 575--577 []\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 577--579 []\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 579--581 []\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 581--583 []\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 583--585 []\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 585--587 []\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 587--589 []\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 589--591 []\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 591--593 []\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 593--595 []\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 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (66.96011pt 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.DelayedFeatureTransformer Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt 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.ExtraTreesClassifier Overfull \hbox (36.39029pt 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.ExtraTreesRegressor [431] Underfull \hbox (badness 10000) in paragraph at lines 613--614 []\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 614--616 []\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 616--618 []\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 618--620 []\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 620--622 []\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 622--624 []\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 624--626 []\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 626--628 []\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 628--630 []\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 630--632 []\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 632--634 []\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 634--636 []\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 636--638 []\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 638--640 []\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 640--642 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (12.40079pt too wide) in paragraph at lines 642--644 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 644--646 []\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 646--648 []\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 648--650 []\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 650--652 []\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 652--654 []\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 654--656 []\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 656--658 []\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 658--660 []\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 661--662 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 662--664 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 664--666 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 664--666 \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 666--668 []\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 668--670 []\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 672--673 []\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 676--678 []\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 678--680 []\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 681--683 []\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 681--683 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 683--685 []\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 683--685 \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 685--687 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 688--690 []\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 690--692 []\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 699--700 []\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 700--702 []\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 702--704 []\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 704--706 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline [432] Underfull \hbox (badness 10000) 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.ComponentBase Overfull \hbox (3.60025pt 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.DateTimeFeaturizer Overfull \hbox (14.53993pt 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.DecisionTreeClassifier Overfull \hbox (15.98012pt 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.DecisionTreeRegressor Overfull \hbox (36.96011pt too wide) 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.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 725--726 []\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 728--730 []\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 730--732 []\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 732--733 []\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 733--735 []\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 735--737 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 748--750 []\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 750--752 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 760--762 []\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 762--764 []\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 764--766 []\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 766--768 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 768--770 []\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 770--771 []\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 775--777 []\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 777--779 []\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 779--781 []\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 781--783 []\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 784--785 []\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 ), Underfull \hbox (badness 5022) in paragraph at lines 785--787 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 787--789 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 789--791 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 791--793 []\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 793--795 []\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 795--797 []\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 797--799 []\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 799--801 []\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 801--803 []\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 803--805 []\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 805--807 []\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 807--809 []\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 809--811 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (42.40079pt too wide) in paragraph at lines 811--813 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TargetEncoder [433] Overfull \hbox (40.81046pt too wide) in paragraph at lines 813--815 []\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 815--817 []\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 821--823 []\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 823--825 []\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 825--827 []\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 827--829 []\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 829--831 []\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 831--833 []\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 833--835 []\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 835--837 []\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 837--839 []\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 839--841 []\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 841--843 []\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 843--845 []\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 845--846 []\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 846--848 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Overfull \hbox (53.86009pt too wide) in paragraph at lines 848--850 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\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 852--853 []\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 853--855 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 855--857 []\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 857--859 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 857--859 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 859--861 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 859--861 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 861--863 []\T1/pcr/m/n/10 get_names() \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 863--865 []\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 865--867 []\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 868--869 []\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 871--873 []\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 877--879 []\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 879--881 []\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 881--883 []\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 883--885 []\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 885--887 []\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 887--889 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 891--893 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\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 897--899 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline [434] Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 915--917 \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 917--919 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\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 927--929 []\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 933--935 []\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 935--937 []\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 937--938 []\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 938--940 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 938--940 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 940--942 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 942--944 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 942--944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 944--946 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 944--946 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 946--948 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 946--948 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 948--950 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 948--950 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 950--952 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 950--952 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 952--954 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 952--954 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 954--956 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 954--956 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 956--958 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 956--958 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 958--960 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 958--960 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 960--962 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 960--962 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 962--964 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 962--964 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 964--966 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 964--966 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 966--968 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 966--968 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 968--970 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 968--970 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 970--972 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 972--974 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 972--974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 974--976 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 974--976 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 976--978 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 978--980 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 980--982 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 980--982 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 982--984 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 984--986 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 986--988 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 986--988 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns [435] Underfull \hbox (badness 10000) in paragraph at lines 988--990 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 988--990 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 990--992 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 992--994 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 994--996 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 994--996 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 996--998 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 996--998 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 998--1000 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 998--1000 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1000--1002 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1002--1004 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1004--1006 []\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 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1014--1016 []\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 1022--1023 []\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 1023--1025 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1023--1025 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1025--1027 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1025--1027 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1027--1029 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1029--1031 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1031--1033 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1033--1035 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1033--1035 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1035--1037 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1035--1037 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1037--1039 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1037--1039 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1039--1041 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1039--1041 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1041--1043 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1041--1043 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1043--1045 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1045--1047 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1047--1049 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1047--1049 \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 1049--1051 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1049--1051 \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 1051--1053 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1053--1055 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1053--1055 \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 1055--1057 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1057--1059 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1057--1059 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1059--1061 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1059--1061 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1061--1063 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1063--1065 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1063--1065 \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 1065--1067 []\T1/pcr/m/n/10 is_defined_for_problem_type() [436] Underfull \hbox (badness 10000) in paragraph at lines 1067--1069 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1067--1069 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1069--1071 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1069--1071 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1071--1073 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1071--1073 \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 1073--1075 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1075--1077 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1075--1077 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1077--1079 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1077--1079 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1079--1081 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1079--1081 \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 1081--1083 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1087--1089 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1089--1091 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1089--1091 \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 1091--1093 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1093--1095 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1099--1101 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1099--1101 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1101--1103 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1101--1103 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1103--1105 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1103--1105 \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 1105--1107 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1105--1107 \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 1107--1109 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1109--1111 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1111--1113 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1117--1119 []\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 1119--1120 []\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 1123--1125 []\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 1125--1127 []\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 1131--1133 []\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 1133--1135 []\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 1135--1137 []\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 1137--1139 []\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 1141--1143 []\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 1143--1145 []\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 1145--1147 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1147--1149 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1149--1151 []\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 1151--1153 []\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 1153--1155 []\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 1155--1157 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor [437] Overfull \hbox (10.9501pt too wide) in paragraph at lines 1159--1161 []\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 1161--1163 []\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 1163--1165 []\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 1165--1167 []\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 1169--1171 []\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 1173--1175 []\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 1175--1177 []\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 1177--1179 []\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 1179--1181 []\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 1181--1183 []\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 1183--1185 []\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 1185--1187 []\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 1187--1189 []\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 1189--1191 []\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 1191--1193 []\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 1193--1195 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1195--1197 []\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 1197--1199 []\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 1199--1201 []\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 1201--1203 []\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 1203--1205 []\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 1207--1209 []\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 1209--1211 []\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 1212--1214 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 log_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\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 1240--1242 []\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 1246--1248 []\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 1248--1250 []\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 1250--1251 []\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 1251--1253 []\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 1253--1255 []\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 1255--1257 []\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 1257--1259 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline [438] Overfull \hbox (38.02017pt too wide) in paragraph at lines 1259--1261 []\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 1261--1263 []\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 1263--1265 []\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 1265--1267 []\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 1267--1269 []\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 1269--1271 []\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 1271--1273 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (78.96011pt too wide) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DelayedFeatureTransformer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1275--1277 []\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 1277--1279 []\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 1279--1281 []\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 1281--1283 []\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 1283--1285 []\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 1285--1287 []\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 1289--1291 []\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 1291--1293 []\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 1293--1295 []\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 1295--1297 []\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 1297--1299 []\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 1299--1301 []\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 1301--1303 []\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 1303--1305 []\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 1305--1307 []\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 1307--1309 []\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 1309--1311 []\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 1311--1313 []\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 1313--1315 []\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 1315--1317 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (24.40079pt too wide) in paragraph at lines 1317--1319 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TargetEncoder Overfull \hbox (22.81046pt too wide) in paragraph at lines 1319--1321 []\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 1321--1323 []\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 1323--1325 []\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 1325--1327 []\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 1327--1329 []\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 1329--1331 []\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 1333--1335 []\T1/pcr/m/n/10 MulticlassClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 []\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 1343--1345 []\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 1345--1346 []\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 1348--1350 []\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 1353--1355 []\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 1363--1365 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier [439] Underfull \hbox (badness 10000) in paragraph at lines 1365--1367 []\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 1367--1369 []\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 1373--1375 []\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 1375--1377 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Overfull \hbox (30.96011pt too wide) in paragraph at lines 1377--1379 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DelayedFeatureTransformer Underfull \hbox (badness 6927) in paragraph at lines 1379--1381 []\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 1381--1383 []\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 1396--1398 []\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 1402--1404 []\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 1404--1406 []\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 1406--1408 []\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 1408--1410 []\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 1414--1416 []\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 1416--1418 []\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 1424--1426 []\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 1426--1428 []\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 1428--1430 []\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 1437--1438 []\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 ), Underfull \hbox (badness 10000) in paragraph at lines 1438--1440 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1440--1442 []\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 1442--1444 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 []\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 1446--1447 []\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 1447--1448 []\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 1451--1453 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1451--1453 \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 1453--1455 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1453--1455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1455--1456 []\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 1456--1458 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1458--1460 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 \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 1462--1464 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1462--1464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [440] Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1464--1466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1466--1468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \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 1472--1473 []\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 1473--1475 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1475--1477 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1477--1479 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1477--1479 \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 1479--1481 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1481--1483 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1481--1483 \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 1483--1485 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1483--1485 \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 1485--1487 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1487--1488 []\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 1488--1490 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 \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 1492--1494 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1492--1494 \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 1494--1496 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1494--1496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1496--1498 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1498--1499 []\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 1499--1501 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1499--1501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1501--1503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1505--1507 \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 1507--1509 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1507--1509 \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 1509--1511 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1511--1512 []\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 1512--1513 []\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 1513--1515 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1513--1515 \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 1515--1517 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1515--1517 \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 1517--1519 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1517--1519 \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 1519--1521 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1519--1521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1521--1523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1523--1525 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1523--1525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1526--1527 []\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 1527--1529 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1527--1529 \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 1529--1530 []\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 1530--1532 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1530--1532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1532--1534 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1532--1534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1534--1536 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1536--1537 []\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 1537--1539 []\T1/pcr/m/n/10 optimize_threshold() [441] Underfull \hbox (badness 10000) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1539--1541 \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 1541--1543 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1541--1543 \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 1543--1545 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1543--1545 \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 1545--1547 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1547--1548 []\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 1553--1554 []\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 1556--1558 []\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 1561--1563 []\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 1563--1565 []\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 1565--1567 []\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 1567--1569 []\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 1569--1571 []\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 1571--1573 []\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 1573--1575 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\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 1583--1585 []\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 1585--1587 []\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 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\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 1601--1603 []\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 1603--1605 []\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 1605--1607 []\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 1607--1609 []\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 1609--1611 []\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 1611--1613 []\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 1613--1615 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineBinaryPipeline Overfull \hbox (29.1799pt too wide) in paragraph at lines 1615--1617 []\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 1617--1619 []\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 1619--1620 []\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 1620--1621 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (17.86009pt too wide) in paragraph at lines 1621--1623 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1623--1625 []\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 1625--1627 []\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 1627--1629 []\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 1629--1631 []\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 1631--1633 []\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 1633--1635 []\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 1635--1637 []\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 1637--1639 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor [442] Overfull \hbox (74.53993pt too wide) in paragraph at lines 1639--1641 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1647--1649 []\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 1649--1651 []\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 1651--1653 []\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 1653--1655 []\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 1655--1657 []\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 1657--1659 []\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 1659--1661 []\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 1661--1663 []\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 1663--1665 []\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 1665--1667 []\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 1667--1669 []\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 1669--1671 []\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 1671--1673 []\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 1673--1675 []\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 1675--1677 []\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 1677--1679 []\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 1679--1681 []\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 1681--1683 []\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 1683--1685 []\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 1685--1687 []\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 1687--1689 []\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 1689--1691 []\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 1691--1693 []\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 1693--1695 []\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 1695--1696 []\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 1696--1698 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Overfull \hbox (35.86009pt too wide) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1702--1703 []\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 1711--1713 []\T1/pcr/m/n/10 raise_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1713--1715 []\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 1715--1717 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1724--1726 []\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 1726--1728 []\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 1728--1729 []\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 1729--1730 []\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 1730--1731 []\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 1735--1736 []\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 1736--1738 []\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 1738--1740 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline [443] Underfull \hbox (badness 10000) in paragraph at lines 1742--1743 []\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 1743--1745 []\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 1745--1747 []\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 1747--1749 []\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 1749--1751 []\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 1753--1755 []\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 1755--1757 []\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 1757--1759 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1759--1761 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1761--1762 []\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 1762--1764 []\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 1764--1766 []\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 1766--1768 []\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 1768--1769 []\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 1769--1771 []\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 1771--1773 []\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 1774--1776 []\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 1778--1780 []\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 1782--1784 []\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 1784--1786 []\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 1786--1788 []\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 1788--1790 []\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 1790--1792 []\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 1792--1794 []\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 1794--1796 []\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 1796--1798 []\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 1798--1800 []\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 1800--1802 []\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 1802--1804 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1804--1806 []\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 1806--1807 []\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 1807--1809 []\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 1809--1811 []\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 1811--1813 []\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 1815--1817 []\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 1817--1819 []\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 1824--1825 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Accu racyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1829--1831 []\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 1831--1833 []\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 1833--1835 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective [444] Underfull \hbox (badness 5607) in paragraph at lines 1843--1844 []\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 1844--1845 []\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 1849--1850 []\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 1852--1854 []\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 1854--1855 []\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 1858--1859 []\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 1864--1865 []\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 1865--1866 []\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 1866--1868 []\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 1868--1870 []\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 1874--1876 []\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 1876--1878 []\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 1878--1880 []\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 1880--1882 []\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 1882--1884 []\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 1884--1886 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1891--1892 []\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 1892--1894 []\T1/pcr/m/n/10 silent_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1894--1895 []\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 1897--1899 []\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 1899--1901 []\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 1901--1902 []\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 1908--1910 []\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 1910--1912 []\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 1912--1914 []\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 1914--1916 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1914--1916 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1916--1918 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1916--1918 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1918--1920 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1918--1920 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1920--1922 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1920--1922 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1922--1924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1924--1926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or [445] Underfull \hbox (badness 10000) in paragraph at lines 1926--1928 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1926--1928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1928--1930 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1928--1930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1930--1932 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1930--1932 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1932--1934 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1932--1934 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1934--1936 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1934--1936 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1936--1938 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1936--1938 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1938--1940 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1938--1940 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1940--1942 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1940--1942 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1942--1944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1944--1946 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1944--1946 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1946--1948 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1946--1948 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1948--1950 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1948--1950 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1950--1952 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1950--1952 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1955--1956 []\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 1956--1957 []\T1/pcr/m/n/10 TargetEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1957--1958 []\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 1958--1959 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1959--1961 []\T1/pcr/m/n/10 TimeSeriesRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1961--1962 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Overfull \hbox (39.60025pt too wide) in paragraph at lines 1966--1968 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (72.96011pt too wide) in paragraph at lines 1968--1970 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DelayedFeatureTransformer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1970--1972 []\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 1972--1974 []\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 1974--1976 []\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 1976--1978 []\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 1978--1980 []\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 1980--1982 []\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 1982--1984 []\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 1984--1986 []\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 1986--1988 []\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 1988--1990 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (18.40079pt too wide) in paragraph at lines 1990--1992 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TargetEncoder Overfull \hbox (16.81046pt too wide) in paragraph at lines 1992--1994 []\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 1994--1996 []\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 2001--2003 []\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 2004--2005 []\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 2007--2009 []\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 2009--2011 []\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 2011--2013 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck [446] Overfull \hbox (7.95114pt too wide) in paragraph at lines 2013--2015 []\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 2015--2017 []\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 2017--2019 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 \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 2021--2023 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2021--2023 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2023--2024 []\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 2025--2026 []\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 2026--2028 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2026--2028 \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 2028--2030 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2028--2030 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2030--2032 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2030--2032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2032--2034 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2034--2036 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2039--2040 []\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 2040--2041 []\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 2043--2044 []\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 2046--2048 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 \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 2048--2050 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2050--2051 []\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 2051--2052 []\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 2053--2055 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2053--2055 \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 2055--2057 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2055--2057 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2057--2058 []\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 2058--2059 []\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 2059--2061 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2059--2061 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2061--2063 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2061--2063 \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 2063--2064 []\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 2064--2066 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 \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 2066--2068 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2066--2068 \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 2068--2070 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2071--2072 []\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 2072--2074 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2072--2074 \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 2076--2078 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2076--2078 \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 2078--2080 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2078--2080 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2080--2082 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2080--2082 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2082--2084 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2082--2084 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError [447] Underfull \hbox (badness 10000) in paragraph at lines 2087--2089 []\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 2089--2090 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [448]) (./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 (452 pages, 2005505 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] [7] [8] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.650 ...t=1840.0\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.650 ...t=1840.0\sphinxpxdimen]{{start_22_0}.svg} [9] [10] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [11] [12] [13] Overfull \vbox (2.03934pt too high) detected at line 1038 [14] [15] [16] [17] [18] [19] [20] Underfull \vbox (badness 10000) detected at line 1674 Overfull \vbox (2.68169pt too high) detected at line 1674 [21] Underfull \vbox (badness 10000) detected at line 1674 Overfull \vbox (24.68169pt too high) detected at line 1674 [22] [23] [24] Overfull \vbox (12.997pt too high) detected at line 1899 [25] Overfull \vbox (2.88167pt too high) detected at line 2060 [26] Underfull \vbox (badness 10000) detected at line 2060 Overfull \vbox (24.68169pt too high) detected at line 2060 [27] Underfull \vbox (badness 10000) detected at line 2060 Overfull \vbox (13.68169pt too high) detected at line 2060 [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3108 ...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.3108 ...inxpxdimen]{{demos_text_input_19_0}.svg} [40] [41] [42] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3370 ...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.3370 ...inxpxdimen]{{demos_text_input_33_0}.svg} Underfull \vbox (badness 2173) detected at line 3453 [43] [44] Chapter 4. [45] Overfull \vbox (11.98256pt too high) detected at line 3635 [46] [47] Underfull \hbox (badness 10000) in paragraph at lines 3688--3689 []\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.3777 ...]{{keyboard_interrupt_demo_updated}.gif} [48] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3777 ...]{{keyboard_interrupt_demo_updated}.gif} [49] [50] [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4269 Overfull \vbox (2.68169pt too high) detected at line 4269 [54] [55] Overfull \vbox (2.88167pt too high) detected at line 4425 [56] Underfull \vbox (badness 10000) detected at line 4467 Overfull \vbox (31.28166pt too high) detected at line 4467 [57] Underfull \hbox (badness 10000) in paragraph at lines 4532--4533 []\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 , [58] [59] [60] Underfull \vbox (badness 10000) detected at line 4733 Overfull \vbox (2.68169pt too high) detected at line 4733 [61] [62] [63] [64] [65] Underfull \vbox (badness 10000) detected at line 5109 Underfull \vbox (badness 10000) detected at line 5109 [66] [67] [68] [69] [70] Underfull \hbox (badness 10000) in paragraph at lines 5439--5441 \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 , [71] [72] [73] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5707 ...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.5707 ...xdimen]{{user_guide_pipelines_16_0}.svg} [74] [75] [76] Underfull \vbox (badness 10000) detected at line 6072 [77] [78] [79] [80] [81] [82] [83] [84] [85] Underfull \vbox (badness 10000) detected at line 6786 Overfull \vbox (13.68169pt too high) detected at line 6786 [86] Overfull \vbox (9.28165pt too high) detected at line 6867 [87] [88] Underfull \vbox (badness 10000) detected at line 7014 Overfull \vbox (2.68169pt too high) detected at line 7014 [89] [90] [91] [92] [93] [94] [95] [96] [97] [98] Underfull \vbox (badness 10000) detected at line 7850 Overfull \vbox (2.68169pt too high) detected at line 7850 [99] Underfull \vbox (badness 10000) detected at line 7850 Overfull \vbox (2.68169pt too high) detected at line 7850 [100] [101] [102] Chapter 5. [103] [104] [105] Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 []\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 8316--8316 \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 8316--8316 \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 8316--8316 \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 8316--8316 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/pt m/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver - Underfull \hbox (badness 10000) in paragraph at lines 8316--8316 \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob-lem_confi guration=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 []\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 8380--8380 \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 8380--8380 \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 8380--8380 \T1/ptm/m/it/10 er-ror_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di-tion al_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bos e=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 op- Underfull \hbox (badness 10000) in paragraph at lines 8380--8380 \T1/ptm/m/it/10 ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en-sem -bling=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_batches=None\T1/ptm/m/n/10 , [106] Underfull \hbox (badness 7869) in paragraph at lines 8428--8432 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [107] [108] [109] Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8798--8798 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [110 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8842--8842 []\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 , [111] Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \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 8952--8952 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8952--8952 \T1/ptm/m/it/10 en-sem-bling=False\T1/ptm/m/n/10 , [112 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8996--8996 []\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 8996--8996 \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 , [113] [114 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] Underfull \hbox (badness 6741) in paragraph at lines 9200--9200 []\T1/ptm/m/it/10 exception\T1/ptm/m/n/10 , \T1/ptm/m/it/10 trace-back\T1/ptm/m /n/10 , \T1/ptm/m/it/10 au-toml\T1/ptm/m/n/10 , Underfull \hbox (badness 5908) in paragraph at lines 9260--9262 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [115] [116] [117] Underfull \hbox (badness 7064) in paragraph at lines 9618--9619 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [118] Underfull \hbox (badness 10000) in paragraph at lines 9671--9672 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [119 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] [120] Underfull \hbox (badness 10000) in paragraph at lines 9942--9944 []\T1/ptm/m/n/10 by sorted(set(y)) [121] Underfull \hbox (badness 7064) in paragraph at lines 10056--10057 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [122] Underfull \hbox (badness 10000) in paragraph at lines 10131--10132 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [123 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] [124] Underfull \hbox (badness 10000) in paragraph at lines 10407--10409 []\T1/ptm/m/n/10 by sorted(set(y)) [125] Overfull \hbox (6.95404pt too wide) in paragraph at lines 10478--10478 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10521--10522 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10547--10549 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [126] Underfull \hbox (badness 10000) in paragraph at lines 10596--10597 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 10630--10630 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [127 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 10867--10869 []\T1/ptm/m/n/10 by sorted(set(y)) [129] Overfull \hbox (30.95404pt too wide) in paragraph at lines 10938--10938 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 10981--10982 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [130] Underfull \hbox (badness 10000) in paragraph at lines 11056--11057 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [131 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [132] [133] Underfull \hbox (badness 7064) in paragraph at lines 11428--11429 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [134] Underfull \hbox (badness 7064) in paragraph at lines 11481--11482 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [135 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] [136] [137] Overfull \hbox (6.95404pt too wide) in paragraph at lines 11812--11812 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 11855--11856 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [138] Underfull \hbox (badness 10000) in paragraph at lines 11911--11912 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [139 <./inheritance-fc786ac575013825c5f71c8953dfdc8bb979190b.pdf>] [140] Underfull \hbox (badness 10000) in paragraph at lines 12266--12268 []\T1/ptm/m/n/10 by sorted(set(y)) [141] Underfull \hbox (badness 7064) in paragraph at lines 12380--12381 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 12406--12408 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [142] Underfull \hbox (badness 10000) in paragraph at lines 12455--12456 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [143 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [144] Underfull \hbox (badness 10000) in paragraph at lines 12762--12764 []\T1/ptm/m/n/10 by sorted(set(y)) [145] Underfull \hbox (badness 7064) in paragraph at lines 12876--12877 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [146] Underfull \hbox (badness 10000) in paragraph at lines 12951--12952 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [147] [148 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [149] Underfull \hbox (badness 10000) in paragraph at lines 13263--13265 []\T1/ptm/m/n/10 by sorted(set(y)) [150] Underfull \hbox (badness 7064) in paragraph at lines 13377--13378 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 13403--13405 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.DataFrame or np.ndarray\T 1/ptm/m/n/10 ) ^^U Data of shape [n_samples, [151] Underfull \hbox (badness 10000) in paragraph at lines 13452--13453 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 10000) in paragraph at lines 13486--13486 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [153] Underfull \hbox (badness 10000) in paragraph at lines 13759--13761 []\T1/ptm/m/n/10 by sorted(set(y)) [154] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13830--13830 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) Underfull \hbox (badness 7064) in paragraph at lines 13873--13874 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [155] Underfull \hbox (badness 10000) in paragraph at lines 13948--13949 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame o r np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [156 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [157] [158] [159] Underfull \hbox (badness 7064) in paragraph at lines 14389--14390 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 14442--14443 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [160] Underfull \hbox (badness 10000) in paragraph at lines 14476--14476 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [161 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [162] Overfull \hbox (18.95404pt too wide) in paragraph at lines 14807--14807 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [163] Underfull \hbox (badness 7064) in paragraph at lines 14850--14851 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape Underfull \hbox (badness 7064) in paragraph at lines 14903--14904 []\T1/pcr/b/n/10 X \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 ww.DataTable, pd.DataFrame, or np.ndarray\T1/ptm/m/n/10 ) ^^U Data of shape [164] Underfull \hbox (badness 10000) in paragraph at lines 14975--14975 []\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- Underfull \hbox (badness 10000) in paragraph at lines 15014--15014 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , \T1/ptm/m/it/10 prob- [165 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Overfull \hbox (78.19925pt too wide) in paragraph at lines 15015--15019 [] Underfull \hbox (badness 10000) in paragraph at lines 15110--15110 []\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 15110--15110 \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 , [166] Underfull \hbox (badness 10000) in paragraph at lines 15169--15169 []\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 , [167] Underfull \hbox (badness 10000) in paragraph at lines 15304--15304 []\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 15304--15304 \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 , [168 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [169] [170] Underfull \hbox (badness 10000) in paragraph at lines 15573--15573 []\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 , [171 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [172] [173 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15889--15889 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [174] Underfull \hbox (badness 10000) in paragraph at lines 16034--16034 []\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 16113--16115 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 16354--16354 []\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 , [177 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 16433--16435 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [178] [179] Underfull \hbox (badness 10000) in paragraph at lines 16674--16674 \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 16674--16674 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [180 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [181] [182] [183] Underfull \hbox (badness 10000) in paragraph at lines 17075--17075 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17075--17075 \T1/ptm/m/it/10 han-dle_unknown='value'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [184 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17204--17204 []\T1/ptm/m/it/10 cols=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 smooth-ing=1.0\T1/p tm/m/n/10 , \T1/ptm/m/it/10 han-dle_unknown='value'\T1/ptm/m/n/10 , \T1/ptm/m/i t/10 han- [185] [186] Underfull \hbox (badness 10000) in paragraph at lines 17435--17435 []\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 17435--17435 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [187 <./inheritance-3522f6f5a8ab432eb444da6674f5ed888fe40b1e.pdf>] Overfull \hbox (5.61217pt too wide) in paragraph at lines 17559--17559 []\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 , Underfull \hbox (badness 7504) in paragraph at lines 17564--17568 []\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, [188] [189] Underfull \hbox (badness 10000) in paragraph at lines 17770--17770 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17770--17770 \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 17770--17770 \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 17770--17770 \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 , [190 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17894--17894 []\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 , [191] [192] Overfull \hbox (62.0307pt too wide) in paragraph at lines 18070--18072 [] Underfull \hbox (badness 10000) in paragraph at lines 18108--18108 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18108--18108 \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 , [193 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [194] [195] Overfull \hbox (62.0307pt too wide) in paragraph at lines 18404--18406 [] [196 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [197] [198] Overfull \hbox (19.00412pt too wide) in paragraph at lines 18757--18757 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18757--18757 \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 18757--18757 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [199 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18886--18886 []\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 18886--18886 \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 18886--18886 \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 , [200] [201] Overfull \hbox (25.00412pt too wide) in paragraph at lines 19093--19093 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19093--19093 \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 19093--19093 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [202 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19222--19222 []\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 19222--19222 \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 19222--19222 \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 , [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 19429--19429 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [205 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [206] [207] [208 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [209] [210] Underfull \hbox (badness 10000) in paragraph at lines 20077--20077 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [211 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [212] [213] Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 lay_features=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 de-lay_target=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 gap=1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20403--20403 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [214 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20527--20527 []\T1/ptm/m/it/10 max_delay=2\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-lay_features=T rue\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de- Underfull \hbox (badness 10000) in paragraph at lines 20527--20527 \T1/ptm/m/it/10 lay_target=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 gap=1\T1/ptm/m/ n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 20813--20813 []\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 20813--20813 \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 20813--20813 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [217 <./inheritance-3e3816801b44ab840cb849deb667decb78b6ea15.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20961--20961 []\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 20961--20961 \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 , [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 21140--21140 []\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 21140--21140 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21140--21140 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [220 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21454--21454 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [223 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21589--21589 []\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 21589--21589 \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 , [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 21768--21768 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21768--21768 \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 , [226 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21903--21903 []\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- [227] Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22082--22082 \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 22082--22082 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [228 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22227--22227 \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 22227--22227 \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- [229] [230] Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 22406--22406 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [231 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22541--22541 []\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 22541--22541 \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- [232] [233] Underfull \hbox (badness 10000) in paragraph at lines 22720--22720 []\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 22720--22720 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22720--22720 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [235] [236] Underfull \hbox (badness 10000) in paragraph at lines 23044--23044 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [237 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [238] [239] Overfull \hbox (7.27411pt too wide) in paragraph at lines 23376--23376 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23376--23376 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [240 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23511--23511 []\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 , [241] [242] Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23720--23720 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 23855--23855 []\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 23855--23855 \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 , [244] [245] Underfull \hbox (badness 10000) in paragraph at lines 24104--24104 []\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 24104--24104 \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 24104--24104 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [246 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24252--24252 []\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 24252--24252 \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 , [247] [248] Underfull \hbox (badness 10000) in paragraph at lines 24431--24431 []\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 24431--24431 \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 24431--24431 \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 , [249 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [250] [251] Underfull \hbox (badness 10000) in paragraph at lines 24745--24745 []\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 24745--24745 \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- [252 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [253] Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 25059--25059 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [254 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25194--25194 []\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 25194--25194 \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 , [255] [256] Underfull \hbox (badness 10000) in paragraph at lines 25373--25373 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25373--25373 \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 25373--25373 \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 , [257 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 []\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- [258] [259] Underfull \hbox (badness 10000) in paragraph at lines 25687--25687 []\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 25687--25687 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25687--25687 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [260 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [261] [262] Underfull \hbox (badness 10000) in paragraph at lines 26011--26011 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [263 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [264] [265] Overfull \hbox (1.27411pt too wide) in paragraph at lines 26338--26338 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26338--26338 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 26338--26338 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 26338--26338 \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 26338--26338 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [266 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26473--26473 []\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 , [267] [268] Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 26682--26682 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [269 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26817--26817 []\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 26817--26817 \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 , [270] [271] Underfull \hbox (badness 10000) in paragraph at lines 27082--27082 []\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- [272 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27113--27113 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [273] Overfull \hbox (137.00916pt too wide) in paragraph at lines 27227--27227 [] Underfull \hbox (badness 10000) in paragraph at lines 27227--27227 Overfull \hbox (12.23114pt too wide) in paragraph at lines 27228--27228 [] Underfull \hbox (badness 10000) in paragraph at lines 27228--27228 Underfull \hbox (badness 10000) in paragraph at lines 27261--27261 []\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 27261--27261 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [274] Underfull \hbox (badness 10000) in paragraph at lines 27292--27292 []\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 27292--27292 \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 27325--27325 \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 27325--27325 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [275] Underfull \hbox (badness 10000) in paragraph at lines 27440--27440 []\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 27440--27440 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [276] Underfull \hbox (badness 10000) in paragraph at lines 27474--27474 []\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 27542--27542 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 27542--27542 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [277] Overfull \hbox (15.96457pt too wide) in paragraph at lines 27583--27583 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 27583--27583 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [278] Overfull \hbox (94.49048pt too wide) in paragraph at lines 27613--27615 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 27629--27629 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 27629--27629 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [279] Overfull \hbox (102.73972pt too wide) in paragraph at lines 27667--27670 [] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27799--27801 [] [280] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27828--27828 [] Underfull \hbox (badness 10000) in paragraph at lines 27828--27828 Underfull \hbox (badness 10000) in paragraph at lines 27884--27885 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [281] Overfull \hbox (27.03467pt too wide) in paragraph at lines 27979--27979 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 27979--27979 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 27979--27979 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27994--27996 [] [282 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28013--28013 []\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 , Overfull \hbox (57.78452pt too wide) in paragraph at lines 28041--28041 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 28050--28050 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28050--28050 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 28051--28051 [] Underfull \hbox (badness 10000) in paragraph at lines 28051--28051 [283] Underfull \hbox (badness 10000) in paragraph at lines 28135--28136 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [284 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (51.03467pt too wide) in paragraph at lines 28222--28222 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 28222--28222 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 28222--28222 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28237--28239 [] Overfull \hbox (81.78452pt too wide) in paragraph at lines 28256--28256 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Underfull \hbox (badness 10000) in paragraph at lines 28265--28265 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 28265--28265 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 28265--28265 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 28266--28266 [] Underfull \hbox (badness 10000) in paragraph at lines 28266--28266 [285] Underfull \hbox (badness 10000) in paragraph at lines 28322--28323 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [286 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 28409--28409 []\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 28424--28426 [] Underfull \hbox (badness 10000) in paragraph at lines 28452--28452 []\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 28453--28453 [] Underfull \hbox (badness 10000) in paragraph at lines 28453--28453 [287] Underfull \hbox (badness 10000) in paragraph at lines 28509--28510 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. Underfull \hbox (badness 10000) in paragraph at lines 28575--28575 []\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 , [288 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28690--28692 [] [289] [290] Underfull \hbox (badness 10000) in paragraph at lines 28841--28842 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [291 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28975--28977 [] [292] [293] Underfull \hbox (badness 10000) in paragraph at lines 29123--29124 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. Underfull \hbox (badness 10000) in paragraph at lines 29151--29151 []\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 , [294 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29250--29250 []\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 29265--29267 [] [295] [296] Underfull \hbox (badness 10000) in paragraph at lines 29413--29414 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [297 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29648--29648 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [298] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29663--29665 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29720--29720 [] Underfull \hbox (badness 10000) in paragraph at lines 29720--29720 [299] Underfull \hbox (badness 10000) in paragraph at lines 29804--29805 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [300 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29886--29886 []\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 29901--29903 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29930--29930 [] Underfull \hbox (badness 10000) in paragraph at lines 29930--29930 [301] Underfull \hbox (badness 10000) in paragraph at lines 29986--29987 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [302 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30093--30095 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30150--30150 [] Underfull \hbox (badness 10000) in paragraph at lines 30150--30150 [303] Underfull \hbox (badness 10000) in paragraph at lines 30234--30235 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [304] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30331--30333 [] [305 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30360--30360 [] Underfull \hbox (badness 10000) in paragraph at lines 30360--30360 Underfull \hbox (badness 10000) in paragraph at lines 30416--30417 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30513--30515 [] [307 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30542--30542 [] Underfull \hbox (badness 10000) in paragraph at lines 30542--30542 Underfull \hbox (badness 10000) in paragraph at lines 30598--30599 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30695--30697 [] [309 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30724--30724 [] Underfull \hbox (badness 10000) in paragraph at lines 30724--30724 Underfull \hbox (badness 10000) in paragraph at lines 30780--30781 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [310] Underfull \hbox (badness 10000) in paragraph at lines 30872--30872 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30872--30872 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 30872--30872 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30887--30889 [] [311 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (15.78452pt too wide) in paragraph at lines 30934--30934 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 30944--30944 [] Underfull \hbox (badness 10000) in paragraph at lines 30944--30944 [312] Underfull \hbox (badness 10000) in paragraph at lines 31028--31029 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [313 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 31110--31110 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 31110--31110 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 31110--31110 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 31125--31127 [] Overfull \hbox (39.78452pt too wide) in paragraph at lines 31144--31144 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 31154--31154 [] Underfull \hbox (badness 10000) in paragraph at lines 31154--31154 [314] Underfull \hbox (badness 10000) in paragraph at lines 31210--31211 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [315 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31317--31319 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31374--31374 [] Underfull \hbox (badness 10000) in paragraph at lines 31374--31374 [316] Underfull \hbox (badness 10000) in paragraph at lines 31458--31459 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [317] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31555--31557 [] [318 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31584--31584 [] Underfull \hbox (badness 10000) in paragraph at lines 31584--31584 Underfull \hbox (badness 10000) in paragraph at lines 31640--31641 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [319] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31737--31739 [] [320 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31766--31766 [] Underfull \hbox (badness 10000) in paragraph at lines 31766--31766 Underfull \hbox (badness 10000) in paragraph at lines 31822--31823 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [321] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31919--31921 [] [322 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31948--31948 [] Underfull \hbox (badness 10000) in paragraph at lines 31948--31948 Underfull \hbox (badness 10000) in paragraph at lines 32004--32005 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [323] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32111--32113 [] [324 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32168--32168 [] Underfull \hbox (badness 10000) in paragraph at lines 32168--32168 [325] Underfull \hbox (badness 10000) in paragraph at lines 32252--32253 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [326 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 32334--32334 []\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 32349--32351 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32378--32378 [] Underfull \hbox (badness 10000) in paragraph at lines 32378--32378 [327] Underfull \hbox (badness 10000) in paragraph at lines 32434--32435 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [328 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32541--32543 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32598--32598 [] Underfull \hbox (badness 10000) in paragraph at lines 32598--32598 [329] Underfull \hbox (badness 10000) in paragraph at lines 32682--32683 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [330] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32779--32781 [] [331 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32808--32808 [] Underfull \hbox (badness 10000) in paragraph at lines 32808--32808 Underfull \hbox (badness 10000) in paragraph at lines 32864--32865 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [332] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32971--32973 [] [333 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33028--33028 [] Underfull \hbox (badness 10000) in paragraph at lines 33028--33028 [334] Underfull \hbox (badness 10000) in paragraph at lines 33112--33113 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [335 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33194--33194 []\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 33209--33211 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33238--33238 [] Underfull \hbox (badness 10000) in paragraph at lines 33238--33238 [336] Underfull \hbox (badness 10000) in paragraph at lines 33294--33295 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [337 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33376--33376 []\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 33391--33393 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33420--33420 [] Underfull \hbox (badness 10000) in paragraph at lines 33420--33420 [338] Underfull \hbox (badness 10000) in paragraph at lines 33476--33477 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [339 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33558--33558 []\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 33573--33575 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33602--33602 [] Underfull \hbox (badness 10000) in paragraph at lines 33602--33602 [340] Underfull \hbox (badness 10000) in paragraph at lines 33658--33659 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [341 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33765--33767 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33822--33822 [] Underfull \hbox (badness 10000) in paragraph at lines 33822--33822 [342] Underfull \hbox (badness 10000) in paragraph at lines 33906--33907 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [343] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34003--34005 [] [344 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34032--34032 [] Underfull \hbox (badness 10000) in paragraph at lines 34032--34032 Underfull \hbox (badness 10000) in paragraph at lines 34088--34089 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [345] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34185--34187 [] [346 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34214--34214 [] Underfull \hbox (badness 10000) in paragraph at lines 34214--34214 Underfull \hbox (badness 10000) in paragraph at lines 34270--34271 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [347] Underfull \hbox (badness 10000) in paragraph at lines 34352--34352 []\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 34367--34369 [] [348 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34396--34396 [] Underfull \hbox (badness 10000) in paragraph at lines 34396--34396 Underfull \hbox (badness 10000) in paragraph at lines 34452--34453 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [349] [350 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34617--34619 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34646--34646 [] Underfull \hbox (badness 10000) in paragraph at lines 34646--34646 [351] Underfull \hbox (badness 10000) in paragraph at lines 34702--34703 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [352 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34799--34801 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 34828--34828 [] Underfull \hbox (badness 10000) in paragraph at lines 34828--34828 Underfull \hbox (badness 10000) in paragraph at lines 34884--34885 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [353] Overfull \hbox (10.35059pt too wide) in paragraph at lines 34981--34983 [] [354 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35010--35010 [] Underfull \hbox (badness 10000) in paragraph at lines 35010--35010 Underfull \hbox (badness 10000) in paragraph at lines 35066--35067 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [355] Underfull \hbox (badness 10000) in paragraph at lines 35150--35150 []\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 35165--35167 [] [356 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35194--35194 [] Underfull \hbox (badness 10000) in paragraph at lines 35194--35194 Underfull \hbox (badness 10000) in paragraph at lines 35250--35251 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [357] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35347--35349 [] [358 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35376--35376 [] Underfull \hbox (badness 10000) in paragraph at lines 35376--35376 Underfull \hbox (badness 10000) in paragraph at lines 35432--35433 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [359] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35529--35531 [] [360 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35558--35558 [] Underfull \hbox (badness 10000) in paragraph at lines 35558--35558 Underfull \hbox (badness 10000) in paragraph at lines 35614--35615 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [361] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35711--35713 [] [362 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35740--35740 [] Underfull \hbox (badness 10000) in paragraph at lines 35740--35740 Underfull \hbox (badness 10000) in paragraph at lines 35796--35797 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [363] Overfull \hbox (10.35059pt too wide) in paragraph at lines 35893--35895 [] Overfull \hbox (3.78452pt too wide) in paragraph at lines 35912--35912 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) [364 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 35922--35922 [] Underfull \hbox (badness 10000) in paragraph at lines 35922--35922 Underfull \hbox (badness 10000) in paragraph at lines 35978--35979 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [365] Underfull \hbox (badness 10000) in paragraph at lines 36062--36062 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 36062--36062 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 36062--36062 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 36077--36079 [] [366 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (21.78452pt too wide) in paragraph at lines 36096--36096 []\T1/ptm/m/it/10 problem_type\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 36106--36106 [] Underfull \hbox (badness 10000) in paragraph at lines 36106--36106 Underfull \hbox (badness 10000) in paragraph at lines 36162--36163 []\T1/pcr/b/n/10 y_predicted \T1/ptm/m/n/10 (\T1/pcr/m/sl/10 pd.Series, pd.Data Frame, ww.DataColumn, or ww. [367] [368 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [369] Overfull \hbox (42.52957pt too wide) in paragraph at lines 36405--36407 [] [370] [371] [372 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [373] Underfull \hbox (badness 10000) in paragraph at lines 36953--36953 []\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- [374 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [375] Underfull \hbox (badness 10000) in paragraph at lines 37111--37111 []\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 37111--37111 \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 37168--37168 []\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 , [376 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [377] [378 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [379 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [380 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [381] [382 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [383 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [384] Underfull \hbox (badness 10000) in paragraph at lines 38030--38032 []\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 [385 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [386 <./inhe ritance-6935cc40f6afd67cf401ab4b0ba2bb63290ca257.pdf>] [387 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38277--38279 []\T1/ptm/m/n/10 are Underfull \hbox (badness 10000) in paragraph at lines 38304--38306 [] Overfull \hbox (1.78085pt too wide) in paragraph at lines 38320--38322 [] Overfull \vbox (146.69304pt too high) detected at line 38340 [388] [389 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [390 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 38629--38629 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [391 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] [392 <./inhe ritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [393] Underfull \hbox (badness 10000) in paragraph at lines 38873--38873 []\T1/ptm/m/it/10 message\T1/ptm/m/n/10 , \T1/ptm/m/it/10 data_check_name\T1/pt m/m/n/10 , \T1/ptm/m/it/10 mes- [394 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] [395 <./inhe ritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] [396] [397] [398] Chapter 6. [399] Underfull \hbox (badness 10000) in paragraph at lines 39547--39548 []\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 39547--39548 \T1/pcr/m/n/10 BinaryClassificationObjective\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 MulticlassClassificationObjective [400] Underfull \hbox (badness 10000) in paragraph at lines 39561--39562 []\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 39579--39580 []\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 39594--39595 []\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 [401] [402] Underfull \hbox (badness 10000) in paragraph at lines 39757--39758 []\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 39843--39844 []\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 [403] [404] Underfull \hbox (badness 10000) in paragraph at lines 40057--40060 [] Overfull \vbox (0.89006pt too high) detected at line 40081 [405] [406] [407] Underfull \hbox (badness 10000) in paragraph at lines 40279--40280 []\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 40306--40307 []\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 40309--40310 []\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 40333--40334 []\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. [408] Underfull \hbox (badness 10000) in paragraph at lines 40397--40398 []\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 40441--40442 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [409] Underfull \hbox (badness 10000) in paragraph at lines 40531--40532 []\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 [410] Underfull \hbox (badness 10000) in paragraph at lines 40609--40610 []\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 40615--40616 []\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 40651--40652 []\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 [411] Underfull \hbox (badness 5374) in paragraph at lines 40667--40668 []\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 [412] Underfull \hbox (badness 10000) in paragraph at lines 40753--40754 []\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 [413] [414] Underfull \hbox (badness 10000) in paragraph at lines 40990--40991 []\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 40996--40997 []\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 , [415] Underfull \hbox (badness 10000) in paragraph at lines 41130--41131 []\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. [416] Underfull \hbox (badness 10000) in paragraph at lines 41148--41149 []\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 41190--41191 []\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 41193--41194 []\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. [417] Underfull \hbox (badness 8113) in paragraph at lines 41264--41265 []\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 41270--41271 []\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 41288--41289 []\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 [418] Underfull \hbox (badness 10000) in paragraph at lines 41449--41450 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [419] [420] [421] [422] (./feature-labs-inc-evalml.ind [423] [424] 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 (23.86009pt 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.Ti meSeriesRegressionPipeline Overfull \hbox (26.02017pt 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.BaselineClassifier Overfull \hbox (27.46036pt 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.BaselineRegressor Overfull \hbox (28.81021pt 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.CatBoostClassifier Overfull \hbox (30.2504pt 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.CatBoostRegressor Overfull \hbox (18.79085pt 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.ComponentBase Overfull \hbox (33.60025pt 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.DateTimeFeaturizer Overfull \hbox (44.53993pt 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.DecisionTreeClassifier Overfull \hbox (45.98012pt 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.DecisionTreeRegressor Overfull \hbox (66.96011pt 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.DelayedFeatureTransformer [425] Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt too wide) 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt too wide) 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.ExtraTreesClassifier Overfull \hbox (36.39029pt 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.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (34.36026pt 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.LightGBMClassifier Overfull \hbox (19.69048pt 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.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier Overfull \hbox (18.78084pt 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.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (61.26003pt 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.StackedEnsembleClassifier Overfull \hbox (62.70021pt 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.StackedEnsembleRegressor Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (12.40079pt 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.TargetEncoder Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 135--137 []\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 137--139 []\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 139--141 []\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 142--143 []\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 145--147 []\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 147--149 []\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 149--151 []\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 157--158 []\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 160--162 []\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 162--164 []\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 165--167 []\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 171--173 []\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 177--178 []\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 178--179 []\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 179--180 []\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 180--182 []\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 182--183 []\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 183--184 []\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 184--186 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [426] Underfull \hbox (badness 10000) in paragraph at lines 188--190 []\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 190--192 []\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 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class 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 197--199 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class 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 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class 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.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 209--211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 211--213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective 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.CostBenefitMatrix class 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 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 10000) in paragraph at lines 219--221 \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 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 221--223 \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 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 225--227 \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 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.LogLossBinary class 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 231--233 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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 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.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() 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 239--241 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 243--245 \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 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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.ObjectiveBase 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.Precision class method\T1/ptm /m/n/10 ), 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 253--255 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class 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.PrecisionMicro class 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 257--259 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class 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.Recall class method\T1/ptm/m/ n/10 ), 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 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() [427] 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.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 269--271 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 271--273 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 273--275 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 275--277 []\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 277--279 []\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 279--281 []\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 281--283 []\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 283--284 []\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 284--285 []\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 285--287 []\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 291--293 []\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 293--295 []\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 295--297 []\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 297--299 []\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 299--301 []\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 301--303 []\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 303--305 []\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 305--307 []\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 307--309 []\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 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Overfull \hbox (48.96011pt 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.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 313--315 []\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 315--317 []\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 317--319 []\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 319--321 []\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 321--322 []\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 322--324 []\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 324--326 []\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 326--327 []\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 327--329 []\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 329--331 []\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 331--333 []\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 333--335 []\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 335--337 []\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 337--339 []\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 339--341 []\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 341--343 []\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 343--345 []\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 349--351 []\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 351--353 []\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 357--359 []\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 359--361 []\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 361--363 []\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 363--365 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor [428] Overfull \hbox (19.18016pt too wide) in paragraph at lines 365--367 []\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 367--369 []\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 369--371 []\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 371--373 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 377--379 []\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 379--381 []\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 381--383 []\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 383--385 []\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 385--387 []\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 387--389 []\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 389--390 []\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 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.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline 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.BinaryClassificationPipeline 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 398--400 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 400--402 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 402--404 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 402--404 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 408--410 \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 410--412 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (1.96007pt too wide) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\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 418--420 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 418--420 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 420--422 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 422--424 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 424--426 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 424--426 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 426--428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 428--430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt 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.B aselineBinaryPipeline Overfull \hbox (18.41pt 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.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 434--436 []\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 436--438 []\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 440--442 []\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 442--444 []\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 444--446 []\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 446--448 []\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 448--449 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- [429] Overfull \hbox (29.86009pt too wide) in paragraph at lines 451--453 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.T imeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 459--460 []\T1/pcr/m/n/10 DataCheckMessageCode \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 460--461 []\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 463--465 []\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 465--467 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 465--467 \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 467--468 []\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 468--470 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 468--470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 470--472 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 470--472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 472--474 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 474--475 []\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 475--477 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 477--479 \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 479--481 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 479--481 \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 481--483 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 481--483 \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 485--486 []\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 486--488 []\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 488--490 []\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 490--492 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 490--492 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 492--494 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 492--494 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 496--498 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 496--498 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 498--500 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 500--502 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 504--506 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 508--510 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.06009pt too wide) in paragraph at lines 510--512 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 512--514 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 512--514 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 514--516 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 514--516 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 516--518 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 516--518 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 518--520 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 518--520 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 520--522 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 520--522 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 522--524 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 522--524 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 524--526 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 524--526 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 526--528 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 526--528 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier [430] Underfull \hbox (badness 10000) in paragraph at lines 528--530 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 528--530 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 530--532 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 530--532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 532--534 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 532--534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 534--536 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 534--536 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 536--538 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 536--538 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 538--540 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 538--540 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 540--542 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 540--542 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 542--544 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 542--544 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 544--546 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 544--546 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 546--548 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 546--548 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 548--550 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 548--550 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 550--552 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 550--552 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 552--554 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 552--554 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 554--556 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 554--556 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 556--558 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 558--560 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 558--560 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 560--562 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 560--562 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 562--564 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 562--564 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 564--566 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 564--566 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 566--568 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 566--568 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 569--571 []\T1/pcr/m/n/10 DelayedFeatureTransformer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Overfull \hbox (12.41pt too wide) in paragraph at lines 573--575 []\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 575--577 []\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 577--579 []\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 579--581 []\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 581--583 []\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 583--585 []\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 585--587 []\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 587--589 []\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 589--591 []\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 591--593 []\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 593--595 []\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 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (66.96011pt 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.DelayedFeatureTransformer Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt 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.ExtraTreesClassifier Overfull \hbox (36.39029pt 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.ExtraTreesRegressor [431] Underfull \hbox (badness 10000) in paragraph at lines 613--614 []\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 614--616 []\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 616--618 []\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 618--620 []\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 620--622 []\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 622--624 []\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 624--626 []\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 626--628 []\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 628--630 []\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 630--632 []\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 632--634 []\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 634--636 []\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 636--638 []\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 638--640 []\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 640--642 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (12.40079pt too wide) in paragraph at lines 642--644 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TargetEncoder Overfull \hbox (10.81046pt too wide) in paragraph at lines 644--646 []\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 646--648 []\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 648--650 []\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 650--652 []\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 652--654 []\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 654--656 []\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 656--658 []\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 658--660 []\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 661--662 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (23.86009pt too wide) in paragraph at lines 662--664 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ti meSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 664--666 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 664--666 \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 666--668 []\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 668--670 []\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 672--673 []\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 676--678 []\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 678--680 []\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 681--683 []\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 681--683 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 683--685 []\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 683--685 \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 685--687 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 688--690 []\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 690--692 []\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 699--700 []\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 700--702 []\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 702--704 []\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 704--706 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline [432] Underfull \hbox (badness 10000) 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.ComponentBase Overfull \hbox (3.60025pt 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.DateTimeFeaturizer Overfull \hbox (14.53993pt 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.DecisionTreeClassifier Overfull \hbox (15.98012pt 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.DecisionTreeRegressor Overfull \hbox (36.96011pt too wide) 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.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 725--726 []\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 728--730 []\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 730--732 []\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 732--733 []\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 733--735 []\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 735--737 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 748--750 []\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 750--752 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 760--762 []\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 762--764 []\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 764--766 []\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 766--768 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 768--770 []\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 770--771 []\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 775--777 []\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 777--779 []\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 779--781 []\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 781--783 []\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 784--785 []\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 ), Underfull \hbox (badness 5022) in paragraph at lines 785--787 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSer iesRegressionPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 787--789 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (96.96011pt too wide) in paragraph at lines 789--791 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DelayedFeatureTransformer Overfull \hbox (39.46088pt too wide) in paragraph at lines 791--793 []\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 793--795 []\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 795--797 []\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 797--799 []\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 799--801 []\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 801--803 []\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 803--805 []\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 805--807 []\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 807--809 []\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 809--811 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (42.40079pt too wide) in paragraph at lines 811--813 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TargetEncoder [433] Overfull \hbox (40.81046pt too wide) in paragraph at lines 813--815 []\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 815--817 []\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 821--823 []\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 823--825 []\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 825--827 []\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 827--829 []\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 829--831 []\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 831--833 []\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 833--835 []\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 835--837 []\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 837--839 []\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 839--841 []\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 841--843 []\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 843--845 []\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 845--846 []\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 846--848 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Overfull \hbox (53.86009pt too wide) in paragraph at lines 848--850 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\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 852--853 []\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 853--855 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 855--857 []\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 857--859 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 857--859 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 859--861 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 859--861 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 861--863 []\T1/pcr/m/n/10 get_names() \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 863--865 []\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 865--867 []\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 868--869 []\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 871--873 []\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 877--879 []\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 879--881 []\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 881--883 []\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 883--885 []\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 885--887 []\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 887--889 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 891--893 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\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 897--899 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline [434] Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 915--917 \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 917--919 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (1.96007pt too wide) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\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 927--929 []\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 933--935 []\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 935--937 []\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 937--938 []\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 938--940 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 938--940 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 940--942 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 942--944 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 942--944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 944--946 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 944--946 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 946--948 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 946--948 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 948--950 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 948--950 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 950--952 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 950--952 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 952--954 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.06009pt too wide) in paragraph at lines 952--954 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DelayedFeatureTrans former Underfull \hbox (badness 10000) in paragraph at lines 954--956 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 954--956 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 956--958 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 956--958 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 958--960 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 958--960 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 960--962 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 960--962 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 962--964 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 962--964 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 964--966 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 964--966 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 966--968 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 966--968 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 968--970 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 968--970 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 970--972 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 972--974 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 972--974 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 974--976 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 974--976 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 976--978 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 978--980 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 980--982 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 980--982 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 982--984 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 982--984 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 984--986 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 984--986 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 986--988 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 986--988 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns [435] Underfull \hbox (badness 10000) in paragraph at lines 988--990 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 988--990 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 990--992 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 992--994 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 992--994 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 994--996 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 994--996 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 996--998 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 996--998 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 998--1000 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 998--1000 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1000--1002 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 1000--1002 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1002--1004 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 1002--1004 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 1004--1006 []\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 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1014--1016 []\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 1022--1023 []\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 1023--1025 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1023--1025 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 1025--1027 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1025--1027 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1027--1029 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1029--1031 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1031--1033 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1033--1035 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1033--1035 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1035--1037 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1035--1037 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1037--1039 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1037--1039 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1039--1041 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1039--1041 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1041--1043 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1041--1043 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 1043--1045 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1045--1047 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1047--1049 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1047--1049 \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 1049--1051 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1049--1051 \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 1051--1053 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1053--1055 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 6188) in paragraph at lines 1053--1055 \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 1055--1057 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1057--1059 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1057--1059 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 1059--1061 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1059--1061 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1061--1063 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1063--1065 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1063--1065 \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 1065--1067 []\T1/pcr/m/n/10 is_defined_for_problem_type() [436] Underfull \hbox (badness 10000) in paragraph at lines 1067--1069 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1067--1069 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 1069--1071 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1069--1071 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1071--1073 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 5985) in paragraph at lines 1071--1073 \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 1073--1075 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1075--1077 []\T1/pcr/m/n/10 is_defined_for_problem_type() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1075--1077 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1077--1079 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1077--1079 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1079--1081 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1079--1081 \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 1081--1083 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1087--1089 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1089--1091 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1089--1091 \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 1091--1093 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1093--1095 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1099--1101 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1099--1101 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1101--1103 []\T1/pcr/m/n/10 is_defined_for_problem_type() Underfull \hbox (badness 10000) in paragraph at lines 1101--1103 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1103--1105 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1103--1105 \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 1105--1107 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1105--1107 \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 1107--1109 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1109--1111 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 1111--1113 []\T1/pcr/m/n/10 IterativeAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1117--1119 []\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 1119--1120 []\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 1123--1125 []\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 1125--1127 []\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 1131--1133 []\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 1133--1135 []\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 1135--1137 []\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 1137--1139 []\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 1141--1143 []\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 1143--1145 []\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 1145--1147 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1147--1149 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1149--1151 []\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 1151--1153 []\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 1153--1155 []\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 1155--1157 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor [437] Overfull \hbox (10.9501pt too wide) in paragraph at lines 1159--1161 []\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 1161--1163 []\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 1163--1165 []\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 1165--1167 []\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 1169--1171 []\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 1173--1175 []\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 1175--1177 []\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 1177--1179 []\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 1179--1181 []\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 1181--1183 []\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 1183--1185 []\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 1185--1187 []\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 1187--1189 []\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 1189--1191 []\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 1191--1193 []\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 1193--1195 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1195--1197 []\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 1197--1199 []\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 1199--1201 []\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 1201--1203 []\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 1203--1205 []\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 1207--1209 []\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 1209--1211 []\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 1212--1214 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regres sionPipeline static Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 log_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\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 1240--1242 []\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 1246--1248 []\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 1248--1250 []\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 1250--1251 []\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 1251--1253 []\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 1253--1255 []\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 1255--1257 []\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 1257--1259 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline [438] Overfull \hbox (38.02017pt too wide) in paragraph at lines 1259--1261 []\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 1261--1263 []\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 1263--1265 []\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 1265--1267 []\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 1267--1269 []\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 1269--1271 []\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 1271--1273 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (78.96011pt too wide) in paragraph at lines 1273--1275 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DelayedFeatureTransformer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1275--1277 []\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 1277--1279 []\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 1279--1281 []\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 1281--1283 []\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 1283--1285 []\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 1285--1287 []\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 1289--1291 []\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 1291--1293 []\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 1293--1295 []\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 1295--1297 []\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 1297--1299 []\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 1299--1301 []\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 1301--1303 []\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 1303--1305 []\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 1305--1307 []\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 1307--1309 []\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 1309--1311 []\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 1311--1313 []\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 1313--1315 []\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 1315--1317 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (24.40079pt too wide) in paragraph at lines 1317--1319 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.TargetEncoder Overfull \hbox (22.81046pt too wide) in paragraph at lines 1319--1321 []\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 1321--1323 []\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 1323--1325 []\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 1325--1327 []\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 1327--1329 []\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 1329--1331 []\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 1333--1335 []\T1/pcr/m/n/10 MulticlassClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it /10 class Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 []\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 1343--1345 []\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 1345--1346 []\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 1348--1350 []\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 1353--1355 []\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 1363--1365 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier [439] Underfull \hbox (badness 10000) in paragraph at lines 1365--1367 []\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 1367--1369 []\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 1373--1375 []\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 1375--1377 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Overfull \hbox (30.96011pt too wide) in paragraph at lines 1377--1379 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DelayedFeatureTransformer Underfull \hbox (badness 6927) in paragraph at lines 1379--1381 []\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 1381--1383 []\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 1396--1398 []\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 1402--1404 []\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 1404--1406 []\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 1406--1408 []\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 1408--1410 []\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 1414--1416 []\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 1416--1418 []\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 1424--1426 []\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 1426--1428 []\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 1428--1430 []\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 1437--1438 []\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 ), Underfull \hbox (badness 10000) in paragraph at lines 1438--1440 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeSeri esRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1440--1442 []\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 1442--1444 []\T1/pcr/m/n/10 next_batch() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 1444--1446 []\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 1446--1447 []\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 1447--1448 []\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 1451--1453 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1451--1453 \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 1453--1455 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1453--1455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1455--1456 []\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 1456--1458 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1458--1460 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1460--1462 \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 1462--1464 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1462--1464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary [440] Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1464--1466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1466--1468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1470--1472 \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 1472--1473 []\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 1473--1475 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1475--1477 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1477--1479 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1477--1479 \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 1479--1481 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1481--1483 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1481--1483 \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 1483--1485 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1483--1485 \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 1485--1487 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1487--1488 []\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 1488--1490 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1490--1492 \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 1492--1494 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1492--1494 \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 1494--1496 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1494--1496 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1496--1498 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1498--1499 []\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 1499--1501 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1499--1501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1501--1503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1505--1507 \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 1507--1509 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1507--1509 \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 1509--1511 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1511--1512 []\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 1512--1513 []\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 1513--1515 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1513--1515 \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 1515--1517 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1515--1517 \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 1517--1519 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1517--1519 \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 1519--1521 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1519--1521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1521--1523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1523--1525 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1523--1525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1526--1527 []\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 1527--1529 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1527--1529 \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 1529--1530 []\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 1530--1532 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1530--1532 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1532--1534 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1532--1534 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1534--1536 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1536--1537 []\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 1537--1539 []\T1/pcr/m/n/10 optimize_threshold() [441] Underfull \hbox (badness 10000) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1539--1541 \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 1541--1543 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1541--1543 \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 1543--1545 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1543--1545 \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 1545--1547 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1547--1548 []\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 1553--1554 []\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 1556--1558 []\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 1561--1563 []\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 1563--1565 []\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 1565--1567 []\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 1567--1569 []\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 1569--1571 []\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 1571--1573 []\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 1573--1575 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1581--1583 []\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 1583--1585 []\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 1585--1587 []\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 1587--1589 []\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 1589--1591 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\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 1597--1599 []\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 1599--1601 []\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 1601--1603 []\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 1603--1605 []\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 1605--1607 []\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 1607--1609 []\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 1609--1611 []\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 1611--1613 []\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 1613--1615 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mod eBaselineBinaryPipeline Overfull \hbox (29.1799pt too wide) in paragraph at lines 1615--1617 []\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 1617--1619 []\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 1619--1620 []\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 1620--1621 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (17.86009pt too wide) in paragraph at lines 1621--1623 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Tim eSeriesRegressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1623--1625 []\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 1625--1627 []\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 1627--1629 []\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 1629--1631 []\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 1631--1633 []\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 1633--1635 []\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 1635--1637 []\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 1637--1639 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor [442] Overfull \hbox (74.53993pt too wide) in paragraph at lines 1639--1641 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1647--1649 []\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 1649--1651 []\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 1651--1653 []\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 1653--1655 []\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 1655--1657 []\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 1657--1659 []\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 1659--1661 []\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 1661--1663 []\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 1663--1665 []\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 1665--1667 []\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 1667--1669 []\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 1669--1671 []\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 1671--1673 []\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 1673--1675 []\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 1675--1677 []\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 1677--1679 []\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 1679--1681 []\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 1681--1683 []\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 1683--1685 []\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 1685--1687 []\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 1687--1689 []\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 1689--1691 []\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 1691--1693 []\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 1693--1695 []\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 1695--1696 []\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 1696--1698 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Overfull \hbox (35.86009pt too wide) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. TimeSeriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1702--1703 []\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 1711--1713 []\T1/pcr/m/n/10 raise_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1713--1715 []\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 1715--1717 []\T1/pcr/m/n/10 RandomForestRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1724--1726 []\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 1726--1728 []\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 1728--1729 []\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 1729--1730 []\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 1730--1731 []\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 1735--1736 []\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 1736--1738 []\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 1738--1740 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline [443] Underfull \hbox (badness 10000) in paragraph at lines 1742--1743 []\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 1743--1745 []\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 1745--1747 []\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 1747--1749 []\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 1749--1751 []\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 1753--1755 []\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 1755--1757 []\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 1757--1759 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Overfull \hbox (42.96011pt too wide) in paragraph at lines 1759--1761 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DelayedFeatureTransformer Underfull \hbox (badness 10000) in paragraph at lines 1761--1762 []\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 1762--1764 []\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 1764--1766 []\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 1766--1768 []\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 1768--1769 []\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 1769--1771 []\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 1771--1773 []\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 1774--1776 []\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 1778--1780 []\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 1782--1784 []\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 1784--1786 []\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 1786--1788 []\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 1788--1790 []\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 1790--1792 []\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 1792--1794 []\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 1794--1796 []\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 1796--1798 []\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 1798--1800 []\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 1800--1802 []\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 1802--1804 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.TargetEncoder Underfull \hbox (badness 10000) in paragraph at lines 1804--1806 []\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 1806--1807 []\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 1807--1809 []\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 1809--1811 []\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 1811--1813 []\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 1815--1817 []\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 1817--1819 []\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 1824--1825 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Accu racyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1829--1831 []\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 1831--1833 []\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 1833--1835 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective [444] Underfull \hbox (badness 5607) in paragraph at lines 1843--1844 []\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 1844--1845 []\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 1849--1850 []\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 1852--1854 []\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 1854--1855 []\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 1858--1859 []\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 1864--1865 []\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 1865--1866 []\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 1866--1868 []\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 1868--1870 []\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 1874--1876 []\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 1876--1878 []\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 1878--1880 []\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 1880--1882 []\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 1882--1884 []\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 1884--1886 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (5.86009pt too wide) in paragraph at lines 1888--1890 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.TimeS eriesRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1891--1892 []\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 1892--1894 []\T1/pcr/m/n/10 silent_error_callback() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1894--1895 []\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 1897--1899 []\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 1899--1901 []\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 1901--1902 []\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 1908--1910 []\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 1910--1912 []\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 1912--1914 []\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 1914--1916 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1914--1916 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1916--1918 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1916--1918 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1918--1920 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1918--1920 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1920--1922 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1920--1922 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1922--1924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1924--1926 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1924--1926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or [445] Underfull \hbox (badness 10000) in paragraph at lines 1926--1928 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1926--1928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1928--1930 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1928--1930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1930--1932 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1930--1932 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1932--1934 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1932--1934 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1934--1936 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1934--1936 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1936--1938 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1936--1938 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1938--1940 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1938--1940 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1940--1942 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1940--1942 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1942--1944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1944--1946 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1944--1946 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1946--1948 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1946--1948 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1948--1950 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1948--1950 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1950--1952 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1950--1952 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1955--1956 []\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 1956--1957 []\T1/pcr/m/n/10 TargetEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1957--1958 []\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 1958--1959 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1959--1961 []\T1/pcr/m/n/10 TimeSeriesRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1961--1962 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 1962--1964 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10 to_dict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Overfull \hbox (39.60025pt too wide) in paragraph at lines 1966--1968 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (72.96011pt too wide) in paragraph at lines 1968--1970 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DelayedFeatureTransformer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1970--1972 []\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 1972--1974 []\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 1974--1976 []\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 1976--1978 []\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 1978--1980 []\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 1980--1982 []\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 1982--1984 []\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 1984--1986 []\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 1986--1988 []\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 1988--1990 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (18.40079pt too wide) in paragraph at lines 1990--1992 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.TargetEncoder Overfull \hbox (16.81046pt too wide) in paragraph at lines 1992--1994 []\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 1994--1996 []\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 2001--2003 []\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 2004--2005 []\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 2007--2009 []\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 2009--2011 []\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 2011--2013 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck [446] Overfull \hbox (7.95114pt too wide) in paragraph at lines 2013--2015 []\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 2015--2017 []\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 2017--2019 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2019--2021 \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 2021--2023 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2021--2023 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2023--2024 []\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 2025--2026 []\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 2026--2028 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2026--2028 \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 2028--2030 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2028--2030 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 2030--2032 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 2030--2032 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 2032--2034 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 2034--2036 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2039--2040 []\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 2040--2041 []\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 2043--2044 []\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 2046--2048 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 \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 2048--2050 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2050--2051 []\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 2051--2052 []\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 2053--2055 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2053--2055 \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 2055--2057 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2055--2057 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 2057--2058 []\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 2058--2059 []\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 2059--2061 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 2059--2061 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 2061--2063 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2061--2063 \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 2063--2064 []\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 2064--2066 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2064--2066 \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 2066--2068 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2066--2068 \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 2068--2070 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2071--2072 []\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 2072--2074 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2072--2074 \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 2076--2078 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2076--2078 \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 2078--2080 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2078--2080 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 2080--2082 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2080--2082 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 2082--2084 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 2082--2084 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError [447] Underfull \hbox (badness 10000) in paragraph at lines 2087--2089 []\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 2089--2090 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [448]) (./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 (452 pages, 2005823 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: 2020-11-25T01:23:46.757581Z, end-time: 2020-11-25T01:23:46.815580Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/stable/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/stable/sphinx_pdf/feature-labs-inc-evalml.pdf