Read the Docs build information Build id: 469871 Project: feature-labs-inc-evalml Version: main Commit: 102f741a56351623aaa5df9d549efbb00a24f61f Date: 2020-11-03T18:10:18.778996Z State: finished Success: True [rtd-command-info] start-time: 2020-11-03T18:10:21.041172Z, end-time: 2020-11-03T18:10:23.636168Z, 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,140.82.112.3' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-11-03T18:10:24.094334Z, end-time: 2020-11-03T18:10:24.229695Z, duration: 0, exit-code: 0 git checkout --force origin/main Note: checking out 'origin/main'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by performing another checkout. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -b with the checkout command again. Example: git checkout -b HEAD is now at 102f741a Fix documentation for enums (#1391) [rtd-command-info] start-time: 2020-11-03T18:10:24.535149Z, end-time: 2020-11-03T18:10:24.588300Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-11-03T18:10:26.182573Z, end-time: 2020-11-03T18:10:30.121392Z, duration: 3, 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/main/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-11-03T18:10:30.413903Z, end-time: 2020-11-03T18:10:31.123340Z, 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/main/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-11-03T18:10:31.279717Z, end-time: 2020-11-03T18:10:42.695851Z, duration: 11, 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 sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting 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 six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting 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) 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=f02a692e813026dd529b9af44b7943654738d52f2e7623cd4c65e7803ae81809 Stored in directory: /tmp/pip-ephem-wheel-cache-o91d8lvw/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=8cd11bf137e8c59d6370a9fad40f3238db5bf9328e765383863ff3f4bbcbba92 Stored in directory: /tmp/pip-ephem-wheel-cache-o91d8lvw/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, pyparsing, six, packaging, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, urllib3, idna, certifi, chardet, requests, imagesize, snowballstemmer, Pygments, pytz, babel, MarkupSafe, Jinja2, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.2 alabaster-0.7.12 babel-2.8.0 certifi-2020.6.20 chardet-3.0.4 commonmark-0.8.1 docutils-0.14 future-0.18.2 idna-2.10 imagesize-1.2.0 mock-1.0.1 packaging-20.4 pillow-5.4.1 pyparsing-2.4.7 pytz-2020.4 readthedocs-sphinx-ext-2.1.1 recommonmark-0.5.0 requests-2.24.0 setuptools-41.0.1 six-1.15.0 snowballstemmer-2.0.0 sphinx-1.8.5 sphinx-rtd-theme-0.4.3 sphinxcontrib-serializinghtml-1.1.4 sphinxcontrib-websupport-1.2.4 urllib3-1.25.11 [rtd-command-info] start-time: 2020-11-03T18:10:42.831036Z, end-time: 2020-11-03T18:11:56.984389Z, duration: 74, 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/main 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-1.5.3-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-0.36.0.tar.gz (319 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting woodwork>=0.0.3 Downloading woodwork-0.0.4-py3-none-any.whl (45 kB) Collecting featuretools>=0.20.0 Downloading featuretools-0.21.0-py3-none-any.whl (293 kB) Collecting nlp-primitives>=1.1.0 Downloading nlp_primitives-1.1.0-py3-none-any.whl (18.0 MB) Collecting plotly>=4.2.1 Downloading plotly-4.12.0-py2.py3-none-any.whl (13.1 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.2-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Collecting graphviz>=0.13 Downloading graphviz-0.14.2-py2.py3-none-any.whl (18 kB) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.15.0) (2020.4) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting joblib>=0.11 Downloading joblib-0.17.0-py3-none-any.whl (301 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.51.0-py2.py3-none-any.whl (70 kB) Collecting slicer Downloading slicer-0.0.4-py3-none-any.whl (13 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting distributed>=2.12.0 Downloading distributed-2.30.0-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/main/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.15.0) (1.15.0) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.19.0-py3-none-any.whl (784 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting 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 tornado>=5; python_version < "3.8" Downloading tornado-6.1-cp37-cp37m-manylinux2010_x86_64.whl (428 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting toolz>=0.8.2 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 fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.4-py3-none-any.whl (91 kB) Collecting regex Downloading regex-2020.10.28-cp37-cp37m-manylinux2014_x86_64.whl (721 kB) Collecting 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) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) 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) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.15.0) (2.7.2) Collecting 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 jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.4-py3-none-any.whl (9.5 MB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) 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/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2.4.7) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.15.0) (2020.6.20) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.3.1-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) 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 attrs>=17.4.0 Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (2.11.2) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Collecting pyzmq>=17 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting zipp>=0.5 Downloading zipp-3.4.0-py3-none-any.whl (5.2 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 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 defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.3.tar.gz (16 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (1.1.1) Collecting nest-asyncio Downloading nest_asyncio-1.4.2-py3-none-any.whl (5.3 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.15.0) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, pyyaml, nltk, retrying, locket, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.15.0-py3-none-any.whl size=5995925 sha256=866c689ce4a83e0d66bb882f898f9f493ee0c6ad0c19575cbcafefd5f8ede462 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/wheels/9b/24/cc/fd0947b0017d1fa995eba9b829fcdd9805e5323df33ce4d1b8 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=285319 sha256=9b46dc14ea866958b1bc62cb60c8af06799d6322f65ad0703889b34e704e724c Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/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=29d442b2349158a97dcba1d6b9ebc25a7629c62d23e3843a5197765aa15e53a7 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/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-0.36.0-cp37-cp37m-linux_x86_64.whl size=461154 sha256=7803f6a8e0bb232c67ffad5a721e3c2c2d552c50fbc5180135aa1f8c11ee2de3 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/wheels/6b/1e/4a/b1d65778aac48b677ac2a758251f9cccb338775e8d174f3696 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=9fd25b598f7d02ad9a1cf8c5f56d76b608d1b921048eb85025c750d43392f4e8 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 Building wheel for nltk (setup.py): started Building wheel for nltk (setup.py): finished with status 'done' Created wheel for nltk: filename=nltk-3.5-py3-none-any.whl size=1434677 sha256=b7c11b0456ef54758400d1ee61909f0fc5e9869a2bc6c39c58461d30bd0fc336 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/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=0ef9d3d738884a843df69883704c39e1c5afb0667e5e3dc283c9798711dc289b Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/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=aaf938f3fa49e602d62a1e74e3c93e21551f3855e9a08b6e4495fcf4644b0983 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Building wheel for pyrsistent (setup.py): started Building wheel for pyrsistent (setup.py): finished with status 'done' Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-linux_x86_64.whl size=115299 sha256=ad15ccf781364bb176865f1d9332f9fc81a77a7cb07336f2bc470328c0c6b375 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/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=bf15aaa55e42c0ff678cfb88547170b0e11711f6d8000a6dde6c1d879145bfe6 Stored in directory: /tmp/pip-ephem-wheel-cache-konhtn4m/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000 Successfully built evalml psutil requirements-parser shap pyyaml nltk retrying locket pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, threadpoolctl, joblib, scikit-learn, pyyaml, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, llvmlite, setuptools, numba, shap, texttable, woodwork, tornado, msgpack, heapdict, zict, tblib, sortedcontainers, locket, toolz, partd, fsspec, dask, distributed, featuretools, regex, nltk, nlp-primitives, retrying, plotly, pickleshare, backcall, ptyprocess, pexpect, parso, jedi, decorator, wcwidth, prompt-toolkit, ipython-genutils, traitlets, ipython, attrs, pyrsistent, zipp, importlib-metadata, jsonschema, jupyter-core, nbformat, pyzmq, jupyter-client, nest-asyncio, async-generator, nbclient, testpath, webencodings, bleach, entrypoints, mistune, jupyterlab-pygments, defusedxml, pandocfilters, nbconvert, pycparser, cffi, argon2-cffi, prometheus-client, Send2Trash, ipykernel, terminado, notebook, widgetsnbextension, ipywidgets, xgboost, cycler, pillow, kiwisolver, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.2.0 backcall-0.2.0 bleach-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 dask-2.30.0 decorator-4.4.2 defusedxml-0.6.0 distributed-2.30.0 entrypoints-0.3 evalml-0.15.0 featuretools-0.21.0 fsspec-0.8.4 graphviz-0.14.2 heapdict-1.0.1 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.3.1 lightgbm-3.0.0 llvmlite-0.34.0 locket-0.2.0 matplotlib-3.3.2 mistune-0.8.4 msgpack-1.0.0 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.2 nlp-primitives-1.1.0 nltk-3.5 notebook-6.1.4 numba-0.51.2 numpy-1.19.4 pandas-1.1.4 pandocfilters-1.4.3 parso-0.7.1 partd-1.1.0 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.1 plotly-4.12.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.3 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyyaml-5.3.1 pyzmq-19.0.2 regex-2020.10.28 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.3 setuptools-50.3.2 shap-0.36.0 slicer-0.0.4 sortedcontainers-2.2.2 tblib-1.7.0 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 toolz-0.11.1 tornado-6.1 tqdm-4.51.0 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zict-2.0.0 zipp-3.4.0 [rtd-command-info] start-time: 2020-11-03T18:11:57.108172Z, end-time: 2020-11-03T18:12:12.471026Z, duration: 15, 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/main/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/main/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/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.3) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/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/main/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/main/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/main/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/main/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/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.36.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: featuretools>=0.20.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.12.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (0.14.2) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/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/main/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/main/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/main/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/main/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.51.0) Requirement already satisfied: slicer in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.4) Requirement already satisfied: dask[dataframe]>=2.12.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/lib/python3.7/site-packages (from nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (3.5) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Collecting py>=1.5.0 Downloading py-1.9.0-py2.py3-none-any.whl (99 kB) Collecting pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Collecting more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.6.0-py3-none-any.whl (45 kB) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.2.0) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) 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/main/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.0) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.2) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) 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/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (3.0.8) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.8.0) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.24.0) 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) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) 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/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) 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/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) 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/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Requirement already satisfied: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.4.4) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.6.3) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.6.0) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (1.4.3) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/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/main/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/main/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (1.0.0) Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.2.2) Requirement already satisfied: tornado>=5; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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: zict>=0.1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from distributed>=2.12.0->featuretools>=0.20.0->-r core-requirements.txt (line 14)) (2.0.0) Requirement already satisfied: tblib>=1.6.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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: regex in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nltk>=3.4.5->nlp-primitives>=1.1.0->-r core-requirements.txt (line 15)) (2020.10.28) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.1.4) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from traitlets>=4.3.1->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.1) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (0.10.0) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2.4.7) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2020.6.20) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/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: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.25.11) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2.10) Requirement already satisfied: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/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/main/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: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.8.0) Requirement already satisfied: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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/main/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/main/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/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=98b373780ddd377819389ad993e9c0ffc04866db27145576771861b0b5dd3512 Stored in directory: /tmp/pip-ephem-wheel-cache-kofgfyb2/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=249d459caa84046138642bb8d75e02a7c223d929dd803caf61bde15165073a9a Stored in directory: /tmp/pip-ephem-wheel-cache-kofgfyb2/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 Successfully built codecov autopep8 Installing collected packages: py, pluggy, more-itertools, atomicwrites, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, pycodestyle, mccabe, pyflakes, flake8, autopep8, isort, sphinxcontrib-jsmath, sphinxcontrib-devhelp, sphinxcontrib-qthelp, sphinxcontrib-applehelp, sphinxcontrib-htmlhelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 codecov-2.1.0 coverage-5.3 execnet-1.7.1 flake8-3.7.0 isort-4.3.4 mccabe-0.6.1 more-itertools-8.6.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 pluggy-0.13.1 py-1.9.0 pycodestyle-2.5.0 pydata-sphinx-theme-0.3.1 pyflakes-2.1.1 pytest-4.4.1 pytest-cov-2.6.1 pytest-forked-1.3.0 pytest-xdist-1.26.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-1.0.3 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 [rtd-command-info] start-time: 2020-11-03T18:12:37.707581Z, end-time: 2020-11-03T18:12:37.779334Z, 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': "main", 'version_slug': "main", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': '102f741a', } 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: 2020-11-03T18:12:37.959799Z, end-time: 2020-11-03T18:28:20.948011Z, duration: 942, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/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: 828 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 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... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 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... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 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... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] 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... [ 5%] 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... [ 9%] 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... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] 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... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 11%] 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... [ 12%] generated/evalml.pipelines.PipelineBase reading sources... [ 12%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 12%] 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... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] 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... [ 14%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Imputer reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 14%] 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... [ 15%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] 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.TextFeaturizer reading sources... [ 16%] generated/evalml.pipelines.components.Transformer reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 16%] 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... [ 17%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 17%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 17%] generated/evalml.preprocessing.load_data reading sources... [ 17%] generated/evalml.preprocessing.number_of_features reading sources... [ 17%] 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... [ 18%] generated/evalml.tuners.GridSearchTuner reading sources... [ 18%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 18%] generated/evalml.tuners.SKOptTuner reading sources... [ 18%] generated/evalml.tuners.Tuner reading sources... [ 18%] generated/evalml.utils.convert_to_seconds 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 19%] 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... [ 20%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 20%] 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... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ 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... [ 22%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 22%] 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... [ 23%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 23%] 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... [ 24%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 24%] 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.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 25%] 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.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 26%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.decision_function 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... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 27%] 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.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference 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.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 29%] 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.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 30%] 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.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.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.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.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.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 32%] 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.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... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function 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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 34%] 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.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 35%] 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.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference 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... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference 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... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 40%] generated/methods/evalml.objectives.Precision.score reading sources... [ 40%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.R2.score reading sources... [ 42%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 43%] generated/methods/evalml.objectives.Recall.score reading sources... [ 43%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 62%] 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.components.BaselineClassifier.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 80%] 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... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 81%] 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... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 84%] 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... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 85%] 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... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 86%] 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... [ 87%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 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... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] demos/text_input writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 1%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 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... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 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... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 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... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] 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... [ 5%] 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... [ 9%] 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... [ 10%] generated/evalml.objectives.RegressionObjective writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 10%] 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... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 11%] 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... [ 12%] generated/evalml.pipelines.PipelineBase writing output... [ 12%] generated/evalml.pipelines.RegressionPipeline writing output... [ 12%] 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... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 13%] 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... [ 14%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 14%] generated/evalml.pipelines.components.Imputer writing output... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 14%] 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... [ 15%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 15%] generated/evalml.pipelines.components.SelectColumns writing output... [ 15%] 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.TextFeaturizer writing output... [ 16%] generated/evalml.pipelines.components.Transformer writing output... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 16%] 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... [ 17%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 17%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 17%] generated/evalml.preprocessing.load_data writing output... [ 17%] generated/evalml.preprocessing.number_of_features writing output... [ 17%] 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... [ 18%] generated/evalml.tuners.GridSearchTuner writing output... [ 18%] generated/evalml.tuners.RandomSearchTuner writing output... [ 18%] generated/evalml.tuners.SKOptTuner writing output... [ 18%] generated/evalml.tuners.Tuner writing output... [ 18%] generated/evalml.utils.convert_to_seconds 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 19%] 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... [ 20%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 20%] 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... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ 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... [ 22%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 22%] 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... [ 23%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 23%] 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... [ 24%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 24%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 24%] 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.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 25%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 25%] 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.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 26%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.decision_function 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... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 27%] 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.objective_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference 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.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 29%] 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.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 30%] 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.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.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.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.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.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 32%] 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.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... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function 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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 34%] 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.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 35%] 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.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference 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... [ 37%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MSE.score writing output... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference 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... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 40%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 40%] generated/methods/evalml.objectives.Precision.score writing output... [ 40%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 42%] generated/methods/evalml.objectives.R2.score writing output... [ 42%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 43%] generated/methods/evalml.objectives.Recall.score writing output... [ 43%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 62%] 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.components.BaselineClassifier.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 67%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DropNullColumns.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.describe writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.fit writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.load writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 80%] 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... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 81%] 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... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 84%] 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... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 85%] 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... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 86%] 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... [ 87%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 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... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 21%] evalml.demos.diabetes highlighting module code... [ 22%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 28%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 29%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 35%] evalml.objectives.objective_base highlighting module code... [ 36%] evalml.objectives.regression_objective highlighting module code... [ 37%] evalml.objectives.standard_metrics highlighting module code... [ 39%] evalml.objectives.utils highlighting module code... [ 40%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 41%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 42%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 43%] evalml.pipelines.classification_pipeline highlighting module code... [ 44%] evalml.pipelines.components.component_base highlighting module code... [ 45%] evalml.pipelines.components.ensemble.stacked_ensemble_base highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 48%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 49%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 57%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 59%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 68%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 70%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 71%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 78%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 85%] evalml.pipelines.components.utils highlighting module code... [ 86%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 87%] evalml.pipelines.pipeline_base highlighting module code... [ 88%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search copying images... [ 16%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_19_0.svg copying images... [ 33%] demos/../_build/doctrees-readthedocs/nbsphinx/demos_text_input_33_0.svg copying images... [ 50%] images/evalml_horizontal.svg copying images... [ 66%] _build/doctrees-readthedocs/nbsphinx/start_22_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees-readthedocs/nbsphinx/user_guide_pipelines_16_0.svg copying static files... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded. The HTML pages are in _build/html. Updating searchtools for Read the Docs search... [rtd-command-info] start-time: 2020-11-03T18:28:21.724159Z, end-time: 2020-11-03T18:42:03.233702Z, duration: 821, 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: 828 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] demos/text_input reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 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... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 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... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 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... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] 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... [ 5%] 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... [ 9%] 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... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] 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... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 11%] 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... [ 12%] generated/evalml.pipelines.PipelineBase reading sources... [ 12%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 12%] 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... [ 13%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] 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... [ 14%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Imputer reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 14%] 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... [ 15%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] 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.TextFeaturizer reading sources... [ 16%] generated/evalml.pipelines.components.Transformer reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 16%] 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... [ 17%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 17%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 17%] generated/evalml.preprocessing.load_data reading sources... [ 17%] generated/evalml.preprocessing.number_of_features reading sources... [ 17%] 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... [ 18%] generated/evalml.tuners.GridSearchTuner reading sources... [ 18%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 18%] generated/evalml.tuners.SKOptTuner reading sources... [ 18%] generated/evalml.tuners.Tuner reading sources... [ 18%] generated/evalml.utils.convert_to_seconds 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... [ 19%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 19%] 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... [ 20%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 20%] 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... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ 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... [ 22%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 22%] 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... [ 23%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 23%] 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... [ 24%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 24%] 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.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 25%] 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.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 26%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.decision_function 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... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 27%] 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.objective_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference 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.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 29%] 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.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 30%] 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.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.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.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.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.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 32%] 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.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... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function 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... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 34%] 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.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 35%] 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.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference 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... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference 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... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 40%] generated/methods/evalml.objectives.Precision.score reading sources... [ 40%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.R2.score reading sources... [ 42%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 43%] generated/methods/evalml.objectives.Recall.score reading sources... [ 43%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] 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... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] 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... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 57%] 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... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 58%] 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... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 59%] 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... [ 60%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 60%] 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... [ 61%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 61%] 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... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 62%] 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.components.BaselineClassifier.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropNullColumns.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.describe reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.fit reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.load reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 80%] 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... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 81%] 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... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 82%] 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... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 83%] 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... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 84%] 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... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 85%] 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... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 86%] 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... [ 87%] 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... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 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... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix demos/text_input user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.utils.generate_pipeline_code generated/evalml.pipelines.components.ComponentBase generated/methods/evalml.pipelines.components.ComponentBase.__init__ generated/methods/evalml.pipelines.components.ComponentBase.clone generated/methods/evalml.pipelines.components.ComponentBase.describe generated/methods/evalml.pipelines.components.ComponentBase.fit generated/methods/evalml.pipelines.components.ComponentBase.load generated/methods/evalml.pipelines.components.ComponentBase.save generated/evalml.pipelines.components.Transformer generated/methods/evalml.pipelines.components.Transformer.__init__ generated/methods/evalml.pipelines.components.Transformer.clone generated/methods/evalml.pipelines.components.Transformer.describe generated/methods/evalml.pipelines.components.Transformer.fit generated/methods/evalml.pipelines.components.Transformer.fit_transform generated/methods/evalml.pipelines.components.Transformer.load generated/methods/evalml.pipelines.components.Transformer.save generated/methods/evalml.pipelines.components.Transformer.transform generated/evalml.pipelines.components.Estimator generated/methods/evalml.pipelines.components.Estimator.__init__ generated/methods/evalml.pipelines.components.Estimator.clone generated/methods/evalml.pipelines.components.Estimator.describe generated/methods/evalml.pipelines.components.Estimator.fit generated/methods/evalml.pipelines.components.Estimator.load generated/methods/evalml.pipelines.components.Estimator.predict generated/methods/evalml.pipelines.components.Estimator.predict_proba generated/methods/evalml.pipelines.components.Estimator.save generated/evalml.pipelines.components.utils.allowed_model_families generated/evalml.pipelines.components.utils.get_estimators generated/evalml.pipelines.components.utils.generate_component_code generated/evalml.pipelines.components.DropColumns generated/methods/evalml.pipelines.components.DropColumns.__init__ generated/methods/evalml.pipelines.components.DropColumns.clone generated/methods/evalml.pipelines.components.DropColumns.describe generated/methods/evalml.pipelines.components.DropColumns.fit generated/methods/evalml.pipelines.components.DropColumns.fit_transform generated/methods/evalml.pipelines.components.DropColumns.load generated/methods/evalml.pipelines.components.DropColumns.save generated/methods/evalml.pipelines.components.DropColumns.transform generated/evalml.pipelines.components.SelectColumns generated/methods/evalml.pipelines.components.SelectColumns.__init__ generated/methods/evalml.pipelines.components.SelectColumns.clone generated/methods/evalml.pipelines.components.SelectColumns.describe generated/methods/evalml.pipelines.components.SelectColumns.fit generated/methods/evalml.pipelines.components.SelectColumns.fit_transform generated/methods/evalml.pipelines.components.SelectColumns.load generated/methods/evalml.pipelines.components.SelectColumns.save generated/methods/evalml.pipelines.components.SelectColumns.transform generated/evalml.pipelines.components.OneHotEncoder generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ generated/methods/evalml.pipelines.components.OneHotEncoder.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.prediction_explanations.explain_prediction generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.objectives.get_all_objective_names generated/evalml.objectives.get_core_objectives generated/evalml.objectives.get_core_objective_names generated/evalml.objectives.get_non_core_objectives generated/evalml.objectives.get_objective generated/evalml.problem_types.handle_problem_types generated/evalml.problem_types.detect_problem_type generated/evalml.problem_types.ProblemTypes generated/evalml.model_family.handle_model_family generated/evalml.model_family.ModelFamily generated/evalml.tuners.Tuner generated/methods/evalml.tuners.Tuner.__init__ generated/methods/evalml.tuners.Tuner.add generated/methods/evalml.tuners.Tuner.is_search_space_exhausted generated/methods/evalml.tuners.Tuner.propose generated/evalml.tuners.SKOptTuner generated/methods/evalml.tuners.SKOptTuner.__init__ generated/methods/evalml.tuners.SKOptTuner.add generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted generated/methods/evalml.tuners.SKOptTuner.propose generated/evalml.tuners.GridSearchTuner generated/methods/evalml.tuners.GridSearchTuner.__init__ generated/methods/evalml.tuners.GridSearchTuner.add generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.GridSearchTuner.propose generated/evalml.tuners.RandomSearchTuner generated/methods/evalml.tuners.RandomSearchTuner.__init__ generated/methods/evalml.tuners.RandomSearchTuner.add generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted generated/methods/evalml.tuners.RandomSearchTuner.propose generated/evalml.data_checks.DataCheck generated/methods/evalml.data_checks.DataCheck.validate generated/evalml.data_checks.InvalidTargetDataCheck generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate generated/evalml.data_checks.HighlyNullDataCheck generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ generated/methods/evalml.data_checks.HighlyNullDataCheck.validate generated/evalml.data_checks.IDColumnsDataCheck generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.TargetLeakageDataCheck generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.ClassImbalanceDataCheck generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ generated/methods/evalml.data_checks.DefaultDataChecks.validate generated/evalml.data_checks.DataCheckMessage generated/methods/evalml.data_checks.DataCheckMessage.__init__ generated/methods/evalml.data_checks.DataCheckMessage.__str__ generated/methods/evalml.data_checks.DataCheckMessage.__eq__ generated/evalml.data_checks.DataCheckError generated/methods/evalml.data_checks.DataCheckError.__init__ generated/methods/evalml.data_checks.DataCheckError.__str__ generated/methods/evalml.data_checks.DataCheckError.__eq__ generated/evalml.data_checks.DataCheckWarning generated/methods/evalml.data_checks.DataCheckWarning.__init__ generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed release_notes resolving references... done writing... done copying images... [ 16%] images/evalml_horizontal.svg copying images... [ 33%] _build/doctrees/nbsphinx/start_22_0.svg copying images... [ 50%] demos/../_build/doctrees/nbsphinx/demos_text_input_19_0.svg copying images... [ 66%] demos/../_build/doctrees/nbsphinx/demos_text_input_33_0.svg copying images... [ 83%] user_guide/keyboard_interrupt_demo_updated.gif copying images... [100%] user_guide/../_build/doctrees/nbsphinx/user_guide_pipelines_16_0.svg copying TeX support files... copying TeX support files... done build succeeded. The LaTeX files are in _build/latex. Run 'make' in that directory to run these through (pdf)latex (use `make latexpdf' here to do that automatically). WARNING: Missing searchtools: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/_static/searchtools.js [rtd-command-info] start-time: 2020-11-03T18:42:03.892846Z, end-time: 2020-11-03T18:42:03.952828Z, 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: 2020-11-03T18:42:04.123460Z, end-time: 2020-11-03T18:42:13.701071Z, duration: 9, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 4, chunk 1. Latexmk: This is Latexmk, John Collins, 1 January 2015, version: 4.41. File::Glob::glob() will disappear in perl 5.30. Use File::Glob::bsd_glob() instead. at /usr/bin/latexmk line 7482. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 311. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 311. [5] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 6 undefined on input line 355. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 6 undefine d on input line 453. [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 23 undefined on input line 2019. [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 39 undefined on input line 3424. [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 40 undefined on input line 3507. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 53 undefined on input line 4412. [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 55 undefined on input line 4532. [55] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 56 undefined on input line 4642. [56] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 57 undefined on input line 4733. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 57 undefined on input line 4733. [57] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 58 undefined on input line 4818. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 58 undefined on input line 4818. [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 60 undefined on input line 4897. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 60 undefined on input line 4900. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 60 undefined on input line 4968. [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `user_guide/components::doc' on page 64 undefine d on input line 5231. [64] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 65 undefine d on input line 5269. [65] [66] LaTeX Warning: Hyper reference `api_reference:components' on page 67 undefined on input line 5443. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 68 undefined on input line 5578. [68] [69] Underfull \vbox (badness 10000) detected at line 5800 [70] [71] [72] [73] [74] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 75 undefine d on input line 6292. [75] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 76 undefined on input line 6396. [76] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 77 undefined on inpu t line 6447. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 77 undefined on input line 6449. [77] Underfull \vbox (badness 10000) detected at line 6553 Overfull \vbox (2.68169pt too high) detected at line 6553 [78] Overfull \vbox (2.68167pt too high) detected at line 6576 [79] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 80 undefined on input line 6578 . [80] [81] Underfull \vbox (badness 10000) detected at line 6787 Overfull \vbox (2.68169pt too high) detected at line 6787 [82] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 83 undefine d on input line 6802. [83] Underfull \hbox (badness 10000) in paragraph at lines 6849--6850 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] [85] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 86 undefine d on input line 7053. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 86 undefined on input line 7053. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 86 undefin ed on input line 7054. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 86 undefine d on input line 7059. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 86 undefined on input line 7059. [86] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 87 undefined on input line 7064. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 87 undefined on input line 7069. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 87 undefine d on input line 7084. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 87 undefin ed on input line 7089. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 87 undefined on input line 7094. [87] [88] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 89 undefined on input line 7125. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 89 undefined on input line 7130. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 89 undefined on input line 7135. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 89 undefined on input line 7140. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 89 undefined on input line 7145. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 7150. [89] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 90 undefined on input line 7294. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 90 undefined on input l ine 7299. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 90 undefined on input lin e 7304. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 90 undefined on input line 7309. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 90 undefined on input line 7314. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 7319. [90] [91] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 92 undefined on input line 7494. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 7499. Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 []\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 7506--7506 \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 7506--7506 \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 7506--7506 \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 7506--7506 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 92 undefined on input line 7528. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 92 undefined on input line 7533. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 92 undefi ned on input line 7538. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 92 undefined on inp ut line 7543. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 92 undefined on input line 7548. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 92 undefined on input line 7553. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 92 undefined on input line 7558 . Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 7563. Underfull \hbox (badness 10000) in paragraph at lines 7570--7570 []\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 7570--7570 \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 7570--7570 \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 7570--7570 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7570--7570 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 92 undefined on input line 7575. [92] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 93 undefined on input line 7578. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 93 undefined on input line 7618. Underfull \hbox (badness 7869) in paragraph at lines 7618--7622 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [93] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 94 undefined on input line 7680. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 94 undefined on input line 7744. [94] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 95 undefined on input line 7815. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 7879. [95] LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 96 un defined on input line 7910. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 7915. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 96 undefined on input line 7932. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 96 undefined on input line 7960. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 96 unde fined on input line 7965. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 7970. Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [96 <./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 97 undefined on input line 7999. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 97 undefined on input line 8004. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 97 undefined on input line 8009. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 8014. Underfull \hbox (badness 10000) in paragraph at lines 8021--8021 []\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 97 undefined on input line 8059. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 97 undefined on input line 8080. [97] Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 8116. Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \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 8131--8131 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.__init__:evalml.automl.automl_algorithm.IterativeAlgorithm .__init__' on page 98 undefined on input line 8153. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 98 undefined on input line 8158. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 98 undefined on input line 8163. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 8168. Underfull \hbox (badness 10000) in paragraph at lines 8175--8175 []\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 8175--8175 \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 , [98 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 99 undefined on input line 8223. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 99 undefined on input line 8244. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 8280. [99] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 100 undefined on input line 8314. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 100 undefined on input line 8319. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 100 undefined o n input line 8324. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 100 und efined on input line 8329. Underfull \hbox (badness 5908) in paragraph at lines 8331--8333 []|\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 100 undefined on input line 8334. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 8339. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 8396. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 100 undefined on inpu t line 8417. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 100 undefined on input line 8422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 100 undefined on input line 8427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 100 undefined on inpu t line 8432. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 100 undefined on input line 843 7. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 100 undefin ed on input line 8442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 100 undefined on input line 8447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 100 undefined on input line 8452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 100 undefined on input line 8 457. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 100 undefined on input line 8462. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 100 undefined on input line 8 467. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 100 undefined on input line 8472. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 8477. [100 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [101] [102] [103] Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 8826. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 1 04 undefined on input line 8847. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 104 und efined on input line 8852. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 104 undefined on input line 8857. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 1 04 undefined on input line 8862. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 104 undefin ed on input line 8867. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 104 undefined on input line 8872. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 104 und efined on input line 8877. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 104 undefined on input line 8882. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 104 undef ined on input line 8887. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 104 undefined on input line 8892. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 104 undefined on input line 8897. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 104 undef ined on input line 8902. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 104 und efined on input line 8907. Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 8912. [104 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9008--9010 []\T1/ptm/m/n/10 by sorted(set(y)) [105] [106] [107] Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 9291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 108 undefined on input line 9312. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 108 undefined on input line 9317. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 108 undefined on input line 9322 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 108 undefined on input line 9327. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 108 undefined on input line 9332. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 108 undefined on input line 9337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 108 undefined on input line 9342. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 108 undefined on input line 9347. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 108 undefined on input line 9352. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 108 undefined on input line 9357. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 108 undefined on input line 9362. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 108 undefined on input line 9367. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 108 undefined on input line 9372. Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 9377. [108 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] [109] Underfull \hbox (badness 10000) in paragraph at lines 9473--9475 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9544--9544 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [110] [111] Underfull \hbox (badness 10000) in paragraph at lines 9696--9696 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 9751. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 112 undefined on input line 9772. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 112 undefined on input line 9777. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 112 undefined on input l ine 9782. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 112 undefined on input line 9787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 112 undefined on input line 9792. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 112 undefined on input line 9797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 112 undefined on input line 9802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 112 undefined on input line 9807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 112 undefined on input line 9812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 112 undefined on input line 9817. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 112 undefined on input line 9822. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 112 undefined on input line 9827. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 112 undefined on input line 9832. Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 9837. [112 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [113] Underfull \hbox (badness 10000) in paragraph at lines 9933--9935 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10004--10004 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [114] [115] Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 10206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 116 undef ined on input line 10227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 116 undefined o n input line 10232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 116 undefined on input line 10237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 116 undef ined on input line 10242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 116 undefined on in put line 10247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 116 undefined on input line 10252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 116 undefined o n input line 10257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 116 undefined on input line 10262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 116 undefined on input line 10267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 116 undefin ed on input line 10272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 116 undefined on input line 10277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 116 undefined o n input line 10282. Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 10287. [116 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [117] [118] [119] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 120 undefined on input line 10597. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 120 undefined on in put line 10602. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 120 undefined on in put line 10607. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 120 undefin ed on input line 10612. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 10617. Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 10720. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 20 undefined on input line 10741. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 120 und efined on input line 10746. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 120 undefined on input line 10751. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 20 undefined on input line 10756. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 120 undefin ed on input line 10761. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 120 undefined on input line 10766. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 120 und efined on input line 10771. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 120 undefined on input line 10776. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 120 undef ined on input line 10781. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 120 undefined on input line 10786. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 120 undefined on input line 10791. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 120 undef ined on input line 10796. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 120 und efined on input line 10801. [120 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 10806. [121] Underfull \hbox (badness 10000) in paragraph at lines 10902--10904 []\T1/ptm/m/n/10 by sorted(set(y)) [122] [123] [124 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 11216. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 125 undefined on input line 11237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 125 undefined on input line 11242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 125 undefined on input line 11247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 125 undefined on input line 11252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 125 undefined on input line 11257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 125 undefined on input line 11262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 125 undefined on input line 11267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 125 undefined on input line 11272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 25 undefined on input line 11277. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 125 undefined on input line 11282. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 125 undefined on input line 11287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 25 undefined on input line 11292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 125 undefined on input line 11297. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 11302. [125] Underfull \hbox (badness 10000) in paragraph at lines 11398--11400 []\T1/ptm/m/n/10 by sorted(set(y)) [126] [127] [128 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 11717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 129 undefined on input line 11738. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 129 undefined on input line 11743. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 129 undefined on input line 11748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 129 undefined on input line 11753. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 129 undefined on input line 11758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 129 undefined on input line 11763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 129 undefined on input line 11768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 129 undefined on input line 11773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 29 undefined on input line 11778. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 129 undefined on input line 11783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 129 undefined on input line 11788. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 29 undefined on input line 11793. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 129 undefined on input line 11798. Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 11803. [129] Underfull \hbox (badness 10000) in paragraph at lines 11899--11901 []\T1/ptm/m/n/10 by sorted(set(y)) [130] [131] [132] Underfull \hbox (badness 10000) in paragraph at lines 12122--12122 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 12213. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 133 undefined on input line 12234. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 133 undefined on input line 12239. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 133 undefined on input line 12244. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 133 undefined on input line 12249. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 133 undefined on input line 12254. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 133 undefined on input line 12259. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 133 undefined on input line 12264. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 133 undefined on input line 1226 9. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 133 undefined on input line 12274. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 133 undefined on input line 12279. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 133 undefined on input line 12284. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 133 undefined on input line 12289. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 133 undefined on input line 12294. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 12299. [133 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [134] Underfull \hbox (badness 10000) in paragraph at lines 12395--12397 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12466--12466 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [135] [136] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 137 undefined on in put line 12634. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 137 undefin ed on input line 12639. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 12644. [137 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 12737. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 138 undefined on input line 12758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 138 undefined on input line 12763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 138 undefined on input line 12768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 138 undefined on input line 12773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 138 undefined on input line 12778. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 138 undefined on input line 12783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 138 undefined on input line 12788. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 138 undefined on input line 12793. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 38 undefined on input line 12798. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 138 undefined on input line 12803. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 38 undefined on input line 12808. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 138 undefined on input line 12813. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 12818. [138] [139] [140] Underfull \hbox (badness 10000) in paragraph at lines 13112--13112 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [141 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 13198. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 142 undefined on input line 13219. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 142 undefined on input line 13224. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 142 undefined on input line 13229. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 142 undefined on input line 13234. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 142 undefined on input line 13239. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 142 undefined on input line 13244. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 142 undefined on input line 13249. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 142 undefined on input line 1325 4. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 142 undefined on input line 13259. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 142 undefined on input line 13264. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 142 undefined on input line 13269. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 142 undefined on input line 13274. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 13279. [142] [143] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13443--13443 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [144] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 145 undefined on input line 13589 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 45 undefined on input line 13594. LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.generate_pipel ine_code:evalml.pipelines.utils.generate_pipeline_code' on page 145 undefined o n input line 13599. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 13604. Underfull \hbox (badness 10000) in paragraph at lines 13611--13611 []\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 145 undefined on input line 136 26. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 145 undefined on input line 13629. [145 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13650--13650 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13650--13650 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13651--13655 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 146 undefined on input line 13663. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 146 undefined on input line 13721. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 146 undefined on input line 13726. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 146 undefined on input line 137 31. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 13736. Underfull \hbox (badness 10000) in paragraph at lines 13743--13743 []\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 13743--13743 \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 146 undefined on input line 13765. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 146 undefined on input line 13770. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 146 undefined on input line 13775. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 146 und efined on input line 13780. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 146 u ndefined on input line 13785. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 146 u ndefined on input line 13790. [146] Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 13795. Underfull \hbox (badness 10000) in paragraph at lines 13802--13802 []\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 , [147] Underfull \hbox (badness 10000) in paragraph at lines 13937--13937 []\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 13937--13937 \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 48 undefined on input line 13968. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 148 und efined on input line 13973. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 48 undefined on input line 13978. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 148 undefin ed on input line 13983. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 148 undefined on input line 13988. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 148 undef ined on input line 13993. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 148 undef ined on input line 13998. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 148 undefined on input line 14003. [148 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 14008. [149] [150] Underfull \hbox (badness 10000) in paragraph at lines 14206--14206 []\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 151 u ndefined on input line 14236. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 151 undefin ed on input line 14241. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 151 u ndefined on input line 14246. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 151 undefined o n input line 14251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 151 undefined on input line 14256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 151 und efined on input line 14261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 151 undefined on input line 14266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 151 undefined on input line 14271. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 14276. [151 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [152] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 153 undefined on input line 14478. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 153 undef ined on input line 14483. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.gen erate_component_code:evalml.pipelines.components.utils.generate_component_code' on page 153 undefined on input line 14488. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 14493. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 153 undefined on input line 14504. [153 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 154 undefined on input line 14510. Underfull \hbox (badness 10000) in paragraph at lines 14522--14522 []\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 154 undefined on input line 14529. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 154 undefined on input line 14532. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 154 undefined on input line 14590. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 154 undefined on input line 14595. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 154 undefined on input line 14600. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 154 undefined on input line 14605. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 154 undefined on input line 14610. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 154 undefined on input line 14615. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 154 undefined on inpu t line 14620. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 154 undefined on input line 14625. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 154 undefined on input line 14630. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 154 undefined on in put line 14635. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 154 undefined on input line 14640. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 154 undefined on inpu t line 14645. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 14650. [154] Underfull \hbox (badness 10000) in paragraph at lines 14657--14657 []\T1/ptm/m/it/10 columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\ T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 14713. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 55 undefined on input line 14734. Underfull \hbox (badness 7576) in paragraph at lines 14736--14738 []|\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 155 und efined on input line 14739. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 55 undefined on input line 14744. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 155 undefin ed on input line 14749. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 155 undefined on input line 14754. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 155 undef ined on input line 14759. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 155 undef ined on input line 14764. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 155 undefined on input line 14769. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 14774. [155] [156] Underfull \hbox (badness 10000) in paragraph at lines 14977--14977 []\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 , [157 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 15033. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 158 undefined on input line 15054. Underfull \hbox (badness 7576) in paragraph at lines 15056--15058 []|\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 158 undefined on input line 15059. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 158 undefined on input line 15064. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 158 und efined on input line 15069. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 158 undefined on input line 15074. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 158 u ndefined on input line 15079. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 158 u ndefined on input line 15084. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 158 undefined on input line 15089. Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 15094. [158] [159] Underfull \hbox (badness 10000) in paragraph at lines 15297--15297 \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 15297--15297 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [160 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 15353. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 161 undefined on input line 15374. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 161 undefined on input line 15379. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 161 undefined on input line 15384. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 161 undefined on input line 15389. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 161 und efined on input line 15394. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 161 undefined on input line 15399. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 161 undefined on input line 15404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 161 u ndefined on input line 15409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 161 u ndefined on input line 15414. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 161 undefined on input line 15419. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 15424. [161] [162] [163] Underfull \hbox (badness 10000) in paragraph at lines 15692--15692 []\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 15692--15692 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 15748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 164 undefined on input line 15769. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 164 undefined on input line 15774. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 164 undefined on input line 15779. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 64 undefined on input line 15784. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 164 undefined on input line 15789. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 164 undefined on input line 15794. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 164 undefined on input line 15799. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 164 undefined on input line 15804. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 15809. Overfull \hbox (5.61217pt too wide) in paragraph at lines 15816--15816 []\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 , [164 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15821--15825 []\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, [165] [166] Underfull \hbox (badness 10000) in paragraph at lines 16027--16027 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16027--16027 \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 16027--16027 \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 16027--16027 \T1/ptm/m/it/10 meric_fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_s tate=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 16083. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 167 undef ined on input line 16104. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 167 undefined o n input line 16109. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 167 undef ined on input line 16114. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 167 undefined on in put line 16119. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 167 undefined on input line 16124. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 167 undefined on input line 16129. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 167 undefined on input line 16134. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 167 und efined on input line 16139. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 16144. [167 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16151--16151 []\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 , [168] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16327--16329 [] [169] Underfull \hbox (badness 10000) in paragraph at lines 16365--16365 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16365--16365 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 16421. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 170 undefined on input line 16442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 170 undefined on input line 16447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 170 undefined on input line 16452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 170 und efined on input line 16457. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 170 undefined on input line 16462. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 170 u ndefined on input line 16467. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 170 u ndefined on input line 16472. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 170 undefined on input line 16477. [170 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 16482. [171] [172] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16661--16663 [] Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 16755. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 173 undefined on input line 16776. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 73 undefined on input line 16781. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 173 undefined on input line 16786. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 173 u ndefined on input line 16791. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 173 undefined on input line 16796. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 173 undefined on input line 16801. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 173 undefined on input line 16806. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 173 undefined on input line 16811. [173 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 16816. [174] [175] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17014--17014 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \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 17014--17014 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 17070. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 176 undefined on input line 17091. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 176 undefined on input line 17096. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 176 undefined on input line 17101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 176 undefined on input line 17106. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 176 undefined on input line 17111. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 176 undefined on input line 17116. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 176 undefined on input line 17121. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 176 undefined on input line 17126. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 176 undefined on input line 17131. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 17136. [176 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17143--17143 []\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 17143--17143 \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 17143--17143 \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 , [177] [178] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17350--17350 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \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 17350--17350 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 17406. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 179 undefined on input line 17427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 179 undefined on input line 17432. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 179 undefined on input line 17437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 179 undefined on input line 17442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 179 undefined on input line 17447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 179 undefined on input line 17452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 179 undefined on input line 17457. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 179 undefined on input line 17462. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 179 undefined on input line 17467. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 17472. [179 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17479--17479 []\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 17479--17479 \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 17479--17479 \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 , [180] [181] Underfull \hbox (badness 10000) in paragraph at lines 17686--17686 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 17742. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 182 undefined on input line 17763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 182 undefined on input line 17768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 182 undefined on input line 17773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 182 undefined on input line 17778. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 182 undefined on input line 17783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 1 82 undefined on input line 17788. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 1 82 undefined on input line 17793. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 182 undefined on input line 17798. Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 17803. [182 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [183] [184] Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 18064. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 185 undefined on input line 18085. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 185 undefined on input line 18090. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 185 undefined on input line 18095. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 185 undefined on input line 18100. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 185 undefined on input line 18105. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 185 undefined on input line 18110. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 185 undefined on input line 18115. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 185 undefined on input line 18120. Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 18125. [185 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [186] [187] Underfull \hbox (badness 10000) in paragraph at lines 18334--18334 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 18390. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 188 undefined on input line 18411. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 1 88 undefined on input line 18416. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 188 undefined on input line 18421. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 188 u ndefined on input line 18426. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 188 undefined on input line 18431. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 188 undefined on input line 18436. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 188 undefined on input line 18441. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 188 undefined on input line 18446. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 18451. [188 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [189] [190] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 191 undefined on input line 18681. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 191 undef ined on input line 18686. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 191 undef ined on input line 18691. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 191 u ndefined on input line 18696. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 191 undefined on input line 18701. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 191 undefined on input line 18706. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 191 undefined o n input line 18711. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 191 undefined on input line 18716. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 191 undefined on input line 18721. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 191 u ndefined on input line 18726. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 18731. Underfull \hbox (badness 10000) in paragraph at lines 18738--18738 []\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 18738--18738 \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 18738--18738 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [191 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 18818. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 192 undefined on input line 18839. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 192 undefined on input line 18844. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 192 undefined on input line 18849. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 192 undefined on input line 18854. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 192 undefined on input line 18859. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 192 undefined on input line 18864. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 192 undefined on input line 18869. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 192 undefined on input line 18874. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 18879. Underfull \hbox (badness 10000) in paragraph at lines 18886--18886 []\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 18886--18886 \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 , [192] [193] Underfull \hbox (badness 10000) in paragraph at lines 19065--19065 []\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 19065--19065 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19065--19065 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 19132. [194 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 195 undefined on input line 19153. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 195 undefined on input line 19158. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 195 undefined on input line 19163. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 195 undefined on input line 19168. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 195 undefined on input line 19173. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 195 undefined on input line 19178. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 195 undefined on input line 19183. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 195 undefined on input line 19188. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 19193. [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 19446. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 197 undefined on input line 19467. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 197 undefined on input line 19472. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 197 undefined on input line 19477. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 197 undefined on input line 19482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 197 undefined on input line 19487. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 197 undefined on input line 19492. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 197 undefined on input line 19497. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 197 undefined on input line 19502. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 19507. [197 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19514--19514 []\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 19514--19514 \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 , [198] [199] Underfull \hbox (badness 10000) in paragraph at lines 19693--19693 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19693--19693 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 19760. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 200 undefined on input line 19781. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 200 undefined on input line 19786. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 200 undefined on input line 19791. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 200 undefined on input line 19796. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 200 undefined on input line 19801. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 200 undefined on input line 19806. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 200 undefined on input line 19811. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 200 undefined on input line 19816. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 19821. [200 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19828--19828 []\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- [201] Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \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 20007--20007 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [202 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 20084. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 203 undefined on input line 20105. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 203 undefined on input line 20110. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 203 undefined on input line 20115. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 203 undefined on input line 20120. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 203 undefined on input line 20125. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 203 undefined on input line 20130. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 203 undefined on input line 20135. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 203 undefined on input line 20140. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 20145. Underfull \hbox (badness 10000) in paragraph at lines 20152--20152 \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 20152--20152 \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- [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [205 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 20398. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 206 undefined on input line 20419. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 206 undefined on input line 20424. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 206 undefined on input line 20429. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 206 undefined on input line 20434. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 206 undefined on input line 20439. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 206 undefined on input line 20444. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 206 undefined on input line 20449. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 206 undefined on input line 20454. Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 20459. Underfull \hbox (badness 10000) in paragraph at lines 20466--20466 []\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 20466--20466 \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- [206] [207] Underfull \hbox (badness 10000) in paragraph at lines 20645--20645 []\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 20645--20645 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20645--20645 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 20722. [208 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 209 undefined on input line 20743. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 209 undefined on input line 20748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 209 undefined on input line 20753. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 209 undefined on input line 20758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 209 undefined on input line 20763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 209 undefined on input line 20768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 209 undefined on input line 20773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 209 undefined on input line 20778. Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 20783. [209] [210] Underfull \hbox (badness 10000) in paragraph at lines 20969--20969 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 21043. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 211 undefined on input line 21064. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 211 undefined on input line 21069. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 211 undefined on input line 21074. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 211 undefined on input line 21079. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 211 undefined on input line 21084. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 211 undefined on input line 21089. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 211 undefined on input line 21094. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 211 undefined on input line 21099. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 21104. [211 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [212] [213] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21301--21301 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 21368. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 214 undefined on input line 21389. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 214 undefined on input line 21394. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 214 undefined on input line 21399. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 214 undefined on input line 21404. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 214 undefined on input line 21409. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 214 undefined on input line 21414. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 214 undefined on input line 21419. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 214 undefined on input line 21424. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 21429. [214 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21436--21436 []\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 215 undefined on input line 21441. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 215 undefined on input line 214 45. [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [217 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 21712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 218 undefined on input line 21733. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 218 undefined on input line 21738. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 218 undefined on input line 21743. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 218 undefined on input line 21748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 218 undefined on input line 21753. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 218 undefined on input line 21758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 218 undefined on input line 21763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 218 undefined on input line 21768. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 21773. Underfull \hbox (badness 5147) in paragraph at lines 21780--21780 []\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 21780--21780 \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 , [218] [219] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 220 undefined o n input line 21977. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 220 undefin ed on input line 21982. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 220 undefined on in put line 21987. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 220 undefin ed on input line 21992. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 220 und efined on input line 21997. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 220 undefined on input line 22002. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 220 undefined o n input line 22007. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 20 undefined on input line 22012. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 220 und efined on input line 22017. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 22022. Underfull \hbox (badness 10000) in paragraph at lines 22029--22029 []\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 22029--22029 \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 22029--22029 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [220 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 22109. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 221 undefined on input line 22130. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 221 undefined on input line 22135. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 221 undefined on input line 22140. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 221 undefined on input line 22145. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 221 undefined on input line 22150. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 221 undefined on input line 22155. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 221 undefined on input line 22160. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 221 undefined on input line 22165. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 22170. Underfull \hbox (badness 10000) in paragraph at lines 22177--22177 []\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 22177--22177 \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 , [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 22356--22356 []\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 22356--22356 \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 22356--22356 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 22423. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 223 undefined on input line 22444. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 223 undefined on input line 22449. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 223 undefined on input line 22454. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 223 undefined on input line 22459. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 223 undefined on input line 22464. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 223 undefined on input line 22469. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 223 undefined on input line 22474. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 223 undefined on input line 22479. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 22484. [223 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 22670--22670 []\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 22670--22670 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 22737. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 226 undefined on input line 22758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 226 undefined on input line 22763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 226 undefined on input line 22768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 226 undefined on input line 22773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 26 undefined on input line 22778. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 226 undefined on input line 22783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 226 undefined on input line 22788. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 26 undefined on input line 22793. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 22798. [226 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [227] Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [228 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 23051. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 229 undefined on input line 23072. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 229 undefined on input line 23077. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 229 undefined on input line 23082. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 229 undefined on input line 23087. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 229 undefined on input line 23092. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 229 undefined on input line 23097. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 229 undefined on input line 23102. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 229 undefined on input line 23107. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 23112. Underfull \hbox (badness 10000) in paragraph at lines 23119--23119 []\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 23119--23119 \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 , [229] [230] Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 \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 23298--23298 \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 , [231 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 23365. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 232 undefined on input line 23386. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 232 undefined on input line 23391. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 232 undefined on input line 23396. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 232 undefined on input line 23401. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 232 undefined on input line 23406. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 232 undefined on input line 23411. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 232 undefined on input line 23416. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 232 undefined on input line 23421. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 23426. Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 []\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- [232] [233] Underfull \hbox (badness 10000) in paragraph at lines 23612--23612 []\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 23612--23612 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23612--23612 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 23689. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 234 undefined on input line 23710. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 234 undefined on input line 23715. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 234 undefined on input line 23720. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 2 34 undefined on input line 23725. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 234 undefined on input line 23730. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 234 undefined on input line 23735. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 234 undefined on input line 23740. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 234 undefined on input line 23745. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 23750. [234 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [235] [236] Underfull \hbox (badness 10000) in paragraph at lines 23936--23936 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 24005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 237 undefined on input line 24026. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 237 undefined on input line 24031. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 237 undefined on input line 24036. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 237 undefined on input line 24041. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 237 undefined on input line 24046. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 237 undefined on input line 24051. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 237 undefined on input line 24056. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 237 undefined on input line 24061. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 24066. [237 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [238] [239] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24263--24263 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24263--24263 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24263--24263 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24263--24263 \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 24263--24263 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 24330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 240 undefined on input line 24351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 240 undefined on input line 24356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 240 undefined on input line 24361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 240 undefined on input line 24366. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 240 undefined on input line 24371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 240 undefined on input line 24376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 240 undefined on input line 24381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 240 undefined on input line 24386. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 24391. [240 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24398--24398 []\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 24403. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 241 undefined on input line 244 07. [241] [242] Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 24674. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 243 undefined on input line 24695. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 243 undefined on input line 24700. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 243 undefined on input line 24705. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 243 undefined on input line 24710. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 243 undefined on input line 24715. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 243 undefined on input line 24720. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 243 undefined on input line 24725. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 243 undefined on input line 24730. [243 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 24735. Underfull \hbox (badness 10000) in paragraph at lines 24742--24742 []\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 24742--24742 \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.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 246 undefined on in put line 24940. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 246 undefined on input line 24945. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 246 und efined on input line 24950. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 246 undefined on input line 24955. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 246 undefined on input line 24960 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 246 undefined on inpu t line 24965. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 246 und efined on input line 24970. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 246 undefined on input line 24975. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 246 undefined on input line 24980. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 246 undefined on input line 24985. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 246 undefined on input line 24990. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 246 undefined on input line 24995. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 25000. Underfull \hbox (badness 10000) in paragraph at lines 25007--25007 []\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- [246 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25038--25038 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [247] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25152--25152 [] Underfull \hbox (badness 10000) in paragraph at lines 25152--25152 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25153--25153 [] Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 Underfull \hbox (badness 10000) in paragraph at lines 25186--25186 []\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 25186--25186 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [248] Underfull \hbox (badness 10000) in paragraph at lines 25217--25217 []\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 25217--25217 \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 25250--25250 \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 25250--25250 \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 249 undefined on input line 25255. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 249 undefined on input line 25264. [249] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 250 undefined on input line 25296. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 250 undefined on input line 25305. Underfull \hbox (badness 10000) in paragraph at lines 25365--25365 []\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 25365--25365 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 250 undefined on input line 25370. [250] Underfull \hbox (badness 10000) in paragraph at lines 25399--25399 []\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 251 undefined on input line 25445. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 251 undefined on input line 25450. 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 251 undefined on input line 25455. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 25460. Overfull \hbox (9.96457pt too wide) in paragraph at lines 25467--25467 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [251] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 252 undefined on input line 25474. Overfull \hbox (15.96457pt too wide) in paragraph at lines 25508--25508 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25508--25508 \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 252 undefined on input line 25515. Overfull \hbox (94.49048pt too wide) in paragraph at lines 25538--25540 [] [252] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25554--25554 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25554--25554 \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 253 undefined on input line 25561. Overfull \hbox (102.73972pt too wide) in paragraph at lines 25592--25595 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 253 undefined on input line 25628. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 253 undefin ed on input line 25633. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 253 undefined on input line 25638. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 253 undefined on input line 256 43. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 25648. [253] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 254 undefined on input line 25677. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 254 undefined on input line 25682. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 254 undefined on input line 25687. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 254 undefined on input line 25692. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 25697. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25719--25721 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25739--25739 [] Underfull \hbox (badness 10000) in paragraph at lines 25739--25739 [254] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 255 undefined on input l ine 25848. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 255 undefined on input line 25853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 255 undefined on input line 25858. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 255 undefined on input line 25863. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 255 undefined on input line 25868. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 255 undefined on input line 25873. [255 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 25878. Overfull \hbox (27.03467pt too wide) in paragraph at lines 25885--25885 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25885--25885 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25885--25885 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25900--25902 [] Underfull \hbox (badness 10000) in paragraph at lines 25919--25919 []\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 , Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 25948--25948 [] Underfull \hbox (badness 10000) in paragraph at lines 25948--25948 [256] [257] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 258 undefined on input line 26084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 258 undefined on input line 26089. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 258 undefined on input line 26094. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 258 undefined on input line 26099. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 26104. Overfull \hbox (51.03467pt too wide) in paragraph at lines 26111--26111 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26111--26111 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26111--26111 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26126--26128 [] Underfull \hbox (badness 10000) in paragraph at lines 26145--26145 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26145--26145 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26145--26145 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) [258 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26146--26146 [] Underfull \hbox (badness 10000) in paragraph at lines 26146--26146 [259] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 260 undefined on input line 26254. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 260 undefined on input line 26259. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 260 undefin ed on input line 26264. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 260 undefined on input line 26269. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 26274. Underfull \hbox (badness 10000) in paragraph at lines 26281--26281 []\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 26296--26298 [] Underfull \hbox (badness 10000) in paragraph at lines 26315--26315 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , [260 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26316--26316 [] Underfull \hbox (badness 10000) in paragraph at lines 26316--26316 [261] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 262 undefined on input line 26416. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 262 undefined on input line 26421. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 262 undefined on input line 26426. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 26431. Underfull \hbox (badness 10000) in paragraph at lines 26438--26438 []\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 262 undefined on input li ne 26460. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 262 undefined on input line 26465. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 262 und efined on input line 26470. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 262 u ndefined on input line 26475. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 262 u ndefined on input line 26480. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 262 undefined on input line 264 85. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 262 undefin ed on input line 26490. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 26495. [262 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26548--26550 [] [263] [264] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 265 undefined on inpu t line 26738. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 265 undefined on input line 26743. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 265 undefined on input line 26748. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 65 undefined on input line 26753. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 65 undefined on input line 26758. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 265 undefined on input line 26763. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 265 und efined on input line 26768. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 26773. [265 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26817--26819 [] [266] Underfull \hbox (badness 10000) in paragraph at lines 26984--26984 []\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 , [267 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.__init__:evalml.objectives.CostBenefitMatrix.__init__' on page 268 undef ined on input line 27008. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 268 undefined on input line 27013. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 268 undefined on input line 27018. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 268 undefined on input line 27023. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 268 undefined on input line 27028. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 268 undefined o n input line 27033. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 268 undefined on input line 27038. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 27043. Underfull \hbox (badness 10000) in paragraph at lines 27078--27078 []\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 27093--27095 [] [268] [269] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 270 undefined on input line 27276. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 270 undefined on input line 27281 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 270 undefined on input line 27286. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 270 undefined on input line 27291. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 270 undefined on input line 27296. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 270 undefined on input line 27301. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 270 undefined on input li ne 27306. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 270 undefined on input line 27311. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 270 undefined on input line 27316. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 270 undefined on input line 27321. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 270 undefined on input line 27326. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 270 undefined on input line 27331. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 270 undefined on input line 27336. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 270 undefined on input line 27341. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 270 undefined on input line 27346. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 270 undefined on input line 27351. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 270 undefined on input line 27356. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 270 undefined on input line 27361. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 270 undefined on input line 27366. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 270 undefined on input line 27371. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 270 undefined on input line 27376. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 270 undefined on input line 27381. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 270 undefined on input line 27386. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 270 undefined on input line 27391. [270 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 27396. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 271 undefined on input line 27425. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 271 undefined on input line 27430. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 271 undefined on input line 27435. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 271 undefined on input line 27440. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 271 undefined on inpu t line 27445. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 71 undefined on input line 27450. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 27455. Underfull \hbox (badness 10000) in paragraph at lines 27462--27462 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [271] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27477--27479 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27525--27525 [] Underfull \hbox (badness 10000) in paragraph at lines 27525--27525 [272] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 273 undefined on input line 27659. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 273 undefined on input line 27664. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 273 undefined on input line 27669. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 273 undefined on input line 27674. [273 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 27679. Underfull \hbox (badness 10000) in paragraph at lines 27686--27686 []\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 27701--27703 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27721--27721 [] Underfull \hbox (badness 10000) in paragraph at lines 27721--27721 [274] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 275 undefined on input line 27827. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 275 undefined on in put line 27832. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 275 undefined on input line 27837. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 275 undefined on input line 27842. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 275 undefined on input line 27847. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 275 undefined on input line 27852. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 27857. [275 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27879--27881 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27927--27927 [] Underfull \hbox (badness 10000) in paragraph at lines 27927--27927 [276] [277 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 278 undefined on input line 28061. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 278 und efined on input line 28066. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 278 undefined on input line 28071 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 278 undefined on input line 28076. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 28081. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28103--28105 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28123--28123 [] Underfull \hbox (badness 10000) in paragraph at lines 28123--28123 [278] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 279 undefined on input line 28229. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 279 und efined on input line 28234. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 279 undefined on input line 28239 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 279 undefined on input line 28244. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 28249. [279 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28271--28273 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28291--28291 [] Underfull \hbox (badness 10000) in paragraph at lines 28291--28291 [280] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 281 undefined on input line 28397. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 2 81 undefined on input line 28402. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 281 undefined on input line 28407. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 281 und efined on input line 28412. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 28417. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28439--28441 [] [281 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28459--28459 [] Underfull \hbox (badness 10000) in paragraph at lines 28459--28459 [282] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 283 undefined on input line 28565. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 283 undefined on input line 28570. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 283 undefined on input line 28575. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 283 undefined on input line 28580. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 283 u ndefined on input line 28585. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 283 undefined on input line 28590. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 28595. Underfull \hbox (badness 10000) in paragraph at lines 28602--28602 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28602--28602 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28602--28602 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28617--28619 [] [283 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28665--28665 [] Underfull \hbox (badness 10000) in paragraph at lines 28665--28665 [284] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 285 undefined on input line 28 799. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 285 undefined on input line 28804. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 285 undefined on input line 28809. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 285 undefined on input line 28814. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 28819. [285 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 28826--28826 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 28826--28826 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 28826--28826 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28841--28843 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28861--28861 [] Underfull \hbox (badness 10000) in paragraph at lines 28861--28861 [286] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 287 undefined on input line 28967. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 287 undefined on inpu t line 28972. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 287 undefined on in put line 28977. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 287 undefined on in put line 28982. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 287 undefined on input line 28987. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 287 undefined on input li ne 28992. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 28997. [287 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29019--29021 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29067--29067 [] Underfull \hbox (badness 10000) in paragraph at lines 29067--29067 [288] [289 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 290 undefined on input line 29201. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 290 undef ined on input line 29206. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 290 undefined on input line 29211. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 290 undefined o n input line 29216. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 29221. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29243--29245 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29263--29263 [] Underfull \hbox (badness 10000) in paragraph at lines 29263--29263 [290] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 291 undefined on input line 29369. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 291 undef ined on input line 29374. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 291 undefined on input line 29379. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 291 undefined o n input line 29384. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 29389. [291 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29411--29413 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29431--29431 [] Underfull \hbox (badness 10000) in paragraph at lines 29431--29431 [292] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 293 undefined on input line 29537. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 293 undefined on input line 29542. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 293 undefined on input line 2 9547. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 293 undef ined on input line 29552. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 29557. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29579--29581 [] [293 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29599--29599 [] Underfull \hbox (badness 10000) in paragraph at lines 29599--29599 [294] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 295 undefined on input line 29705. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 295 undefined on input line 29710. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 295 undefined on input line 29715. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 295 undefined on input line 29720. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 295 undefined on input line 29725. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 295 undefined on input line 29730. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 29735. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29757--29759 [] [295 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29805--29805 [] Underfull \hbox (badness 10000) in paragraph at lines 29805--29805 [296] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 297 undefined on input line 29939. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 297 undefined on input line 29944. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 297 undefined o n input line 29949. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 297 undefined on input line 29954. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 29959. Underfull \hbox (badness 10000) in paragraph at lines 29966--29966 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [297 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29981--29983 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30001--30001 [] Underfull \hbox (badness 10000) in paragraph at lines 30001--30001 [298] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 299 undefined on input line 30107. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 299 und efined on input line 30112. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 299 u ndefined on input line 30117. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 299 u ndefined on input line 30122. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 299 undefined on input line 301 27. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 299 undefin ed on input line 30132. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 30137. [299 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30159--30161 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30207--30207 [] Underfull \hbox (badness 10000) in paragraph at lines 30207--30207 [300] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 301 undefined on input line 30341. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 301 undefined on input line 30346. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 301 undefined on input line 30351. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 301 undefined on input line 30356. [301 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 30361. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30383--30385 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30403--30403 [] Underfull \hbox (badness 10000) in paragraph at lines 30403--30403 [302] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 303 undefined on input line 30509. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 303 und efined on input line 30514. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 303 u ndefined on input line 30519. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 303 u ndefined on input line 30524. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 303 undefined on input line 305 29. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 303 undefin ed on input line 30534. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 30539. [303 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30561--30563 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30609--30609 [] Underfull \hbox (badness 10000) in paragraph at lines 30609--30609 [304] [305 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 306 undefined on input line 30743. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 306 undefined on input line 30748. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 306 undefined on inpu t line 30753. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 3 06 undefined on input line 30758. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 30763. Underfull \hbox (badness 10000) in paragraph at lines 30770--30770 []\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 30785--30787 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30805--30805 [] Underfull \hbox (badness 10000) in paragraph at lines 30805--30805 [306] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 307 undefined on input line 30911. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 307 undefined on input line 30916. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 307 undefined on inpu t line 30921. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 3 07 undefined on input line 30926. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 30931. Underfull \hbox (badness 10000) in paragraph at lines 30938--30938 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [307 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30953--30955 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30973--30973 [] Underfull \hbox (badness 10000) in paragraph at lines 30973--30973 [308] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 309 undefined on input line 31079. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 309 undefined on input line 31084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 309 undefined o n input line 31089. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 309 undefined on input line 31094. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 31099. Underfull \hbox (badness 10000) in paragraph at lines 31106--31106 []\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 31121--31123 [] [309 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31141--31141 [] Underfull \hbox (badness 10000) in paragraph at lines 31141--31141 [310] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 311 undefined on input line 31247. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 311 undefined on input line 31252. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 311 undefin ed on input line 31257. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 311 undefin ed on input line 31262. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 311 undefined on input line 31267. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 311 undefined on input line 31272. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 31277. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31299--31301 [] [311 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31347--31347 [] Underfull \hbox (badness 10000) in paragraph at lines 31347--31347 [312] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 313 undefined on input line 31481. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 3 13 undefined on input line 31486. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 313 undefined on input line 31491. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 313 und efined on input line 31496. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 31501. [313 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31523--31525 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31543--31543 [] Underfull \hbox (badness 10000) in paragraph at lines 31543--31543 [314] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 315 undefined on input line 31649. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 3 15 undefined on input line 31654. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 315 undefined on input line 31659. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 315 und efined on input line 31664. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 31669. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31691--31693 [] [315 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31711--31711 [] Underfull \hbox (badness 10000) in paragraph at lines 31711--31711 [316] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 317 undefined on input line 31817. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 317 undefined on input line 31822. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 317 undefined on inpu t line 31827. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 3 17 undefined on input line 31832. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 31837. Underfull \hbox (badness 10000) in paragraph at lines 31844--31844 []\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 31859--31861 [] [317 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31879--31879 [] Underfull \hbox (badness 10000) in paragraph at lines 31879--31879 [318] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 319 undefined on input line 31979. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 319 undefined on input line 31984. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 319 undefined on input line 31989. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 319 undefined on input line 319 94. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 319 undefined on input line 31999. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 319 undefined on input line 32004. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 319 undefined on input line 32009. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 319 undefined on input line 3 2014. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 319 undefined on input line 32019. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 32024. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 319 undefined on input line 32053. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 319 undefined on in put line 32058. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 319 undefined on input line 32063. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 319 undefined on input li ne 32068. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 32073. [319 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32095--32097 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32115--32115 [] Underfull \hbox (badness 10000) in paragraph at lines 32115--32115 [320] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 321 undefined on input line 32221. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 321 undefined on input line 32226. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 321 undefined on input line 32231. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 321 undefined on input line 32236. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 32241. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32263--32265 [] [321 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32283--32283 [] Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 [322] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 323 undefined on input line 32389. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 323 undefined on input line 32394. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 323 undefined on input line 32399. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 323 undefined on input line 32404. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 32409. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32431--32433 [] [323 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32451--32451 [] Underfull \hbox (badness 10000) in paragraph at lines 32451--32451 [324] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 325 undefined on input line 32559. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 325 undefined on input line 32564. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 325 undefin ed on input line 32569. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 325 undefined on input line 32574. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 32579. Underfull \hbox (badness 10000) in paragraph at lines 32586--32586 []\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 32601--32603 [] [325 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32621--32621 [] Underfull \hbox (badness 10000) in paragraph at lines 32621--32621 [326] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 327 undefined on input line 32727. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 327 und efined on input line 32732. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 327 undefined on input line 32737 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 327 undefined on input line 32742. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 32747. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32769--32771 [] [327 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32789--32789 [] Underfull \hbox (badness 10000) in paragraph at lines 32789--32789 [328] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 329 undefined on input line 32895. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 329 und efined on input line 32900. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 329 undefined on input line 32905 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 329 undefined on input line 32910. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 32915. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32937--32939 [] [329 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32957--32957 [] Underfull \hbox (badness 10000) in paragraph at lines 32957--32957 [330] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 331 undefined on input line 33063. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 3 31 undefined on input line 33068. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 331 undefined on input line 33073. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 331 und efined on input line 33078. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 33083. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33105--33107 [] [331 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33125--33125 [] Underfull \hbox (badness 10000) in paragraph at lines 33125--33125 [332] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 333 undefined on input line 33231. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 333 undefined on input line 33236. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 333 undef ined on input line 33241. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 333 undefined on input line 33246. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 33251. Overfull \hbox (10.35059pt too wide) in paragraph at lines 33273--33275 [] [333 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33293--33293 [] Underfull \hbox (badness 10000) in paragraph at lines 33293--33293 [334] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 335 undefined on input line 33401. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 335 undefined on input line 33406. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 335 undefined on input line 33411. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 335 undefined on input line 33416. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 33421. Underfull \hbox (badness 10000) in paragraph at lines 33428--33428 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33428--33428 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 33428--33428 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33443--33445 [] [335 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33463--33463 [] Underfull \hbox (badness 10000) in paragraph at lines 33463--33463 [336] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 337 undefined on input line 33563. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 337 undefined on input line 335 68. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 337 undefined on inpu t line 33573. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 337 undefined on input line 33578. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 337 undefined on input line 33583. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 33588. [337 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 338 undefined on input line 33678. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 338 undefined on input line 33720. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 338 undefined on input li ne 33725. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 338 undefined on input line 33730. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 33735. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 338 undefined on input line 33746. [338] Overfull \hbox (42.52957pt too wide) in paragraph at lines 33762--33764 [] Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 33830. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 339 undefined on input line 33856. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 339 undefined on input line 33861. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 33866. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 339 undefined on input line 33877. [339] Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 33964. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 340 undefined on input line 33990. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 340 undefined on input line 33995. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 340 undefined on input line 34000. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 340 undefined on input line 34005. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 34010. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 340 undefined on input line 34041. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 340 undefined on input line 34046. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 340 und efined on input line 34051. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 340 undefined on input line 34056. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 34061. [340] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 341 undefined on input line 341 84. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 341 undefined on input line 34189. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 341 undefined on input line 34194. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 341 undefined on input line 34199 . [341 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 34204. [342] Underfull \hbox (badness 10000) in paragraph at lines 34305--34305 []\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 343 undefined on inpu t line 34335. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 343 undefined on input line 343 40. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 343 undefined on input line 34345. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 343 undefined on input line 34350. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 34355. [343 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34463--34463 []\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 34463--34463 \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- [344 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.__init__:evalml.tuners.RandomSearchTuner.__init__' on page 345 undefined on input line 34493. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 345 undefined on input line 34498. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 345 undefined on input line 34503. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 345 undefined on in put line 34508. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 34513. Underfull \hbox (badness 10000) in paragraph at lines 34520--34520 []\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 , [345] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 346 undefined on input line 34645. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 346 undefined on input line 34650. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 346 undefined on input line 3 4655. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 346 undefined on input line 346 60. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 346 undefined on input line 34665. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 346 undefined on input line 34670 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 346 undefined on input line 3 4675. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 346 undefined on inpu t line 34680. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 34685. [346 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 34720. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 347 undefined on input line 34741. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 34746. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 347 undefined on input line 34769. [347] Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 34817. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 348 undefined on input line 34838. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 348 undefined on input line 34843. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 34848. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 348 undefined on input line 34882. [348 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 34938. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 349 undefined on input line 34959. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 349 undefined on input line 34964. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 34969. [349 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 350 undefined on input line 35009. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 35067. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 350 u ndefined on input line 35088. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 350 u ndefined on input line 35093. [350 <./inheritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 35098. [351] Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 35204. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 352 undefined on input line 35225. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 352 undefined on input line 35230. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 35235. [352 <./inheritance-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 353 undefined on input line 35278. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 35339. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 353 und efined on input line 35360. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 353 und efined on input line 35365. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 35370. [353 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35380--35382 []\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 [354 <./inheritance-72007caa0939d731540e614fb6d9eec807dcbcb9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 35466. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 355 undefined on input line 35487. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 355 undefined on input line 35492. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 35497. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 355 undefined on input line 35538. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 355 undefined on input line 35538. [355] Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 35586. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 356 undefined on input line 35607. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 356 undefined on input line 35612. Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 35617. Underfull \hbox (badness 10000) in paragraph at lines 35625--35627 []\T1/ptm/m/n/10 are [356 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35666--35668 []\T1/ptm/m/n/10 and LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 357 undefined on input line 35673. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 357 undefined on input line 35673. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 357 undefined on input line 35714. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 357 undefined on input line 35719 . Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 35724. [357 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 358 undefined on inpu t line 35753. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 358 undefined on inpu t line 35758. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 35763. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 358 undefined on input line 35774. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 358 undefined on input line 35802. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 358 und efined on input line 35846. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 358 und efined on input line 35851. [358 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 35856. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 359 undefined on input line 35892. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 359 undefined on input line 35928. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 359 undefined on input line 35933. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 359 undefined on input line 35938. Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 35943. [359 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 360 undef ined on input line 35978. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 360 undefin ed on input line 35983. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 360 undefined on input line 35988. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 35993. [360 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 361 undefined on input line 36080. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 361 undefined o n input line 36085. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 361 undefined on input line 36090. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 36095. [361 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 362 undef ined on input line 36182. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 362 undefin ed on input line 36187. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 362 undefined on input line 36192. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 36197. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 362 undefined on input line 36272. [362 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 36277. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 36316. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 363 undefined on input line 36345. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 363 undefined on input line 36350. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 363 undefined on input line 36355. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 363 undefined on input line 36360. Package longtable Warning: Column widths have changed (longtable) in table 190 on input line 36365. [363] [364] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 36496--36497 []\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 36514--36515 []\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 36529--36530 []\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 [365] [366] Underfull \hbox (badness 10000) in paragraph at lines 36692--36693 []\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 [367] Underfull \hbox (badness 10000) in paragraph at lines 36778--36779 []\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 [368] [369] Underfull \hbox (badness 10000) in paragraph at lines 36992--36995 [] [370] [371] Underfull \hbox (badness 10000) in paragraph at lines 37214--37215 []\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 37241--37242 []\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 37244--37245 []\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 [372] Underfull \hbox (badness 10000) in paragraph at lines 37268--37269 []\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. Underfull \hbox (badness 10000) in paragraph at lines 37332--37333 []\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. [373] Underfull \hbox (badness 10000) in paragraph at lines 37376--37377 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [374] Underfull \hbox (badness 10000) in paragraph at lines 37466--37467 []\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 Underfull \hbox (badness 10000) in paragraph at lines 37544--37545 []\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 37550--37551 []\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 [375] Underfull \hbox (badness 10000) in paragraph at lines 37586--37587 []\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 5374) in paragraph at lines 37602--37603 []\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 [376] Underfull \hbox (badness 10000) in paragraph at lines 37688--37689 []\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 [377] [378] Underfull \hbox (badness 10000) in paragraph at lines 37925--37926 []\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 37931--37932 []\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 , [379] Underfull \hbox (badness 10000) in paragraph at lines 38065--38066 []\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. [380] Underfull \hbox (badness 10000) in paragraph at lines 38083--38084 []\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 38125--38126 []\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 38128--38129 []\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. [381] Underfull \hbox (badness 8113) in paragraph at lines 38199--38200 []\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 38205--38206 []\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 38223--38224 []\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 [382] [383] Underfull \hbox (badness 10000) in paragraph at lines 38384--38385 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [384] [385] [386] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [387] (./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 (391 pages, 1784645 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 (1032 entries accepted, 0 rejected). Sorting entries...........done (11449 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (1907 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.ind' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [64] [65] [66] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] [68] [69] Underfull \vbox (badness 10000) detected at line 5800 [70] [71] [72] [73] [74] [75] [76] [77] Underfull \vbox (badness 10000) detected at line 6553 Overfull \vbox (2.68169pt too high) detected at line 6553 [78] Overfull \vbox (2.68167pt too high) detected at line 6576 [79] [80] [81] Underfull \vbox (badness 10000) detected at line 6787 Overfull \vbox (2.68169pt too high) detected at line 6787 [82] [83] Underfull \hbox (badness 10000) in paragraph at lines 6849--6850 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] [85] [86] [87] [88] Chapter 5. [89] [90] [91] Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 []\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 7506--7506 \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 7506--7506 \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 7506--7506 \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 7506--7506 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7570--7570 []\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 7570--7570 \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 7570--7570 \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 7570--7570 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7570--7570 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- [92] Underfull \hbox (badness 7869) in paragraph at lines 7618--7622 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [93] [94] [95] Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [96 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8021--8021 []\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 , [97] Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \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 8131--8131 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8175--8175 []\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 8175--8175 \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 , [98 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [99] Underfull \hbox (badness 5908) in paragraph at lines 8331--8333 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [100 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [101] [102] [103] [104 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9008--9010 []\T1/ptm/m/n/10 by sorted(set(y)) [105] [106] [107] [108 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9. pdf>] [109] Underfull \hbox (badness 10000) in paragraph at lines 9473--9475 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9544--9544 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [110] [111] Underfull \hbox (badness 10000) in paragraph at lines 9696--9696 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [112 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [113] Underfull \hbox (badness 10000) in paragraph at lines 9933--9935 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10004--10004 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [114] [115] [116 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [117] [118] [119] [120 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [121] Underfull \hbox (badness 10000) in paragraph at lines 10902--10904 []\T1/ptm/m/n/10 by sorted(set(y)) [122] [123] [124 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [125] Underfull \hbox (badness 10000) in paragraph at lines 11398--11400 []\T1/ptm/m/n/10 by sorted(set(y)) [126] [127] [128 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [129] Underfull \hbox (badness 10000) in paragraph at lines 11899--11901 []\T1/ptm/m/n/10 by sorted(set(y)) [130] [131] [132] Underfull \hbox (badness 10000) in paragraph at lines 12122--12122 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [133 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [134] Underfull \hbox (badness 10000) in paragraph at lines 12395--12397 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12466--12466 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [135] [136] [137 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [138] [139] [140] Underfull \hbox (badness 10000) in paragraph at lines 13112--13112 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [141 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [142] [143] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13443--13443 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [144] Underfull \hbox (badness 10000) in paragraph at lines 13611--13611 []\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- [145 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13650--13650 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13650--13650 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13651--13655 [] Underfull \hbox (badness 10000) in paragraph at lines 13743--13743 []\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 13743--13743 \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 , [146] Underfull \hbox (badness 10000) in paragraph at lines 13802--13802 []\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 , [147] Underfull \hbox (badness 10000) in paragraph at lines 13937--13937 []\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 13937--13937 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [149] [150] Underfull \hbox (badness 10000) in paragraph at lines 14206--14206 []\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 , [151 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [152] [153 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14522--14522 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [154] Underfull \hbox (badness 10000) in paragraph at lines 14657--14657 []\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 14736--14738 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [155] [156] Underfull \hbox (badness 10000) in paragraph at lines 14977--14977 []\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 , [157 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 15056--15058 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [158] [159] Underfull \hbox (badness 10000) in paragraph at lines 15297--15297 \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 15297--15297 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [160 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [161] [162] [163] Underfull \hbox (badness 10000) in paragraph at lines 15692--15692 []\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 15692--15692 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 15816--15816 []\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 , [164 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15821--15825 []\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, [165] [166] Underfull \hbox (badness 10000) in paragraph at lines 16027--16027 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16027--16027 \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 16027--16027 \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 16027--16027 \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 , [167 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16151--16151 []\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 , [168] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16327--16329 [] [169] Underfull \hbox (badness 10000) in paragraph at lines 16365--16365 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16365--16365 \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 , [170 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [171] [172] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16661--16663 [] [173 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [174] [175] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17014--17014 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \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 17014--17014 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [176 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17143--17143 []\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 17143--17143 \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 17143--17143 \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 , [177] [178] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17350--17350 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \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 17350--17350 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [179 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17479--17479 []\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 17479--17479 \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 17479--17479 \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 , [180] [181] Underfull \hbox (badness 10000) in paragraph at lines 17686--17686 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [182 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [183] [184] [185 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [186] [187] Underfull \hbox (badness 10000) in paragraph at lines 18334--18334 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [188 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 18738--18738 []\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 18738--18738 \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 18738--18738 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [191 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18886--18886 []\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 18886--18886 \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 , [192] [193] Underfull \hbox (badness 10000) in paragraph at lines 19065--19065 []\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 19065--19065 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19065--19065 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [194 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [197 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19514--19514 []\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 19514--19514 \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 , [198] [199] Underfull \hbox (badness 10000) in paragraph at lines 19693--19693 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19693--19693 \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 , [200 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19828--19828 []\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- [201] Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \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 20007--20007 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [202 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20152--20152 \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 20152--20152 \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- [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [205 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20466--20466 []\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 20466--20466 \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- [206] [207] Underfull \hbox (badness 10000) in paragraph at lines 20645--20645 []\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 20645--20645 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20645--20645 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [209] [210] Underfull \hbox (badness 10000) in paragraph at lines 20969--20969 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [211 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [212] [213] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21301--21301 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [214 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21436--21436 []\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 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [217 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 21780--21780 []\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 21780--21780 \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 , [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 22029--22029 []\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 22029--22029 \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 22029--22029 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [220 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22177--22177 []\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 22177--22177 \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 , [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 22356--22356 []\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 22356--22356 \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 22356--22356 \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 , [223 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 22670--22670 []\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 22670--22670 \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- [226 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [227] Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [228 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23119--23119 []\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 23119--23119 \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 , [229] [230] Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 \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 23298--23298 \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 , [231 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 []\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- [232] [233] Underfull \hbox (badness 10000) in paragraph at lines 23612--23612 []\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 23612--23612 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23612--23612 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [235] [236] Underfull \hbox (badness 10000) in paragraph at lines 23936--23936 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [237 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [238] [239] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24263--24263 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24263--24263 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24263--24263 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24263--24263 \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 24263--24263 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [240 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24398--24398 []\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 24607--24607 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24742--24742 []\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 24742--24742 \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 25007--25007 []\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- [246 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25038--25038 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [247] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25152--25152 [] Underfull \hbox (badness 10000) in paragraph at lines 25152--25152 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25153--25153 [] Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 Underfull \hbox (badness 10000) in paragraph at lines 25186--25186 []\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 25186--25186 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [248] Underfull \hbox (badness 10000) in paragraph at lines 25217--25217 []\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 25217--25217 \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 25250--25250 \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 25250--25250 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [249] Underfull \hbox (badness 10000) in paragraph at lines 25365--25365 []\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 25365--25365 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [250] Underfull \hbox (badness 10000) in paragraph at lines 25399--25399 []\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 25467--25467 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [251] Overfull \hbox (15.96457pt too wide) in paragraph at lines 25508--25508 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 25538--25540 [] [252] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25554--25554 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 25592--25595 [] [253] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25719--25721 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25739--25739 [] Underfull \hbox (badness 10000) in paragraph at lines 25739--25739 [254] [255 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 25885--25885 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25885--25885 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25885--25885 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25900--25902 [] Underfull \hbox (badness 10000) in paragraph at lines 25919--25919 []\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 , Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 25948--25948 [] Underfull \hbox (badness 10000) in paragraph at lines 25948--25948 [256] [257] Overfull \hbox (51.03467pt too wide) in paragraph at lines 26111--26111 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26111--26111 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26111--26111 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26126--26128 [] Underfull \hbox (badness 10000) in paragraph at lines 26145--26145 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26145--26145 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26145--26145 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) [258 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26146--26146 [] Underfull \hbox (badness 10000) in paragraph at lines 26146--26146 [259] Underfull \hbox (badness 10000) in paragraph at lines 26281--26281 []\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 26296--26298 [] Underfull \hbox (badness 10000) in paragraph at lines 26315--26315 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , [260 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26316--26316 [] Underfull \hbox (badness 10000) in paragraph at lines 26316--26316 [261] Underfull \hbox (badness 10000) in paragraph at lines 26438--26438 []\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 , [262 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26548--26550 [] [263] [264] [265 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26817--26819 [] [266] Underfull \hbox (badness 10000) in paragraph at lines 26984--26984 []\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 , [267 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27078--27078 []\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 27093--27095 [] [268] [269] [270 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27462--27462 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [271] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27477--27479 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27525--27525 [] Underfull \hbox (badness 10000) in paragraph at lines 27525--27525 [272] [273 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27686--27686 []\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 27701--27703 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27721--27721 [] Underfull \hbox (badness 10000) in paragraph at lines 27721--27721 [274] [275 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27879--27881 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27927--27927 [] Underfull \hbox (badness 10000) in paragraph at lines 27927--27927 [276] [277 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28103--28105 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28123--28123 [] Underfull \hbox (badness 10000) in paragraph at lines 28123--28123 [278] [279 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28271--28273 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28291--28291 [] Underfull \hbox (badness 10000) in paragraph at lines 28291--28291 [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28439--28441 [] [281 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28459--28459 [] Underfull \hbox (badness 10000) in paragraph at lines 28459--28459 [282] Underfull \hbox (badness 10000) in paragraph at lines 28602--28602 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28602--28602 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28602--28602 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28617--28619 [] [283 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28665--28665 [] Underfull \hbox (badness 10000) in paragraph at lines 28665--28665 [284] [285 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 28826--28826 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 28826--28826 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 28826--28826 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28841--28843 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28861--28861 [] Underfull \hbox (badness 10000) in paragraph at lines 28861--28861 [286] [287 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29019--29021 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29067--29067 [] Underfull \hbox (badness 10000) in paragraph at lines 29067--29067 [288] [289 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29243--29245 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29263--29263 [] Underfull \hbox (badness 10000) in paragraph at lines 29263--29263 [290] [291 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29411--29413 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29431--29431 [] Underfull \hbox (badness 10000) in paragraph at lines 29431--29431 [292] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29579--29581 [] [293 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29599--29599 [] Underfull \hbox (badness 10000) in paragraph at lines 29599--29599 [294] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29757--29759 [] [295 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29805--29805 [] Underfull \hbox (badness 10000) in paragraph at lines 29805--29805 [296] Underfull \hbox (badness 10000) in paragraph at lines 29966--29966 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [297 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29981--29983 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30001--30001 [] Underfull \hbox (badness 10000) in paragraph at lines 30001--30001 [298] [299 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30159--30161 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30207--30207 [] Underfull \hbox (badness 10000) in paragraph at lines 30207--30207 [300] [301 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30383--30385 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30403--30403 [] Underfull \hbox (badness 10000) in paragraph at lines 30403--30403 [302] [303 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30561--30563 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30609--30609 [] Underfull \hbox (badness 10000) in paragraph at lines 30609--30609 [304] [305 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30770--30770 []\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 30785--30787 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30805--30805 [] Underfull \hbox (badness 10000) in paragraph at lines 30805--30805 [306] Underfull \hbox (badness 10000) in paragraph at lines 30938--30938 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [307 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30953--30955 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30973--30973 [] Underfull \hbox (badness 10000) in paragraph at lines 30973--30973 [308] Underfull \hbox (badness 10000) in paragraph at lines 31106--31106 []\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 31121--31123 [] [309 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31141--31141 [] Underfull \hbox (badness 10000) in paragraph at lines 31141--31141 [310] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31299--31301 [] [311 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31347--31347 [] Underfull \hbox (badness 10000) in paragraph at lines 31347--31347 [312] [313 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31523--31525 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31543--31543 [] Underfull \hbox (badness 10000) in paragraph at lines 31543--31543 [314] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31691--31693 [] [315 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31711--31711 [] Underfull \hbox (badness 10000) in paragraph at lines 31711--31711 [316] Underfull \hbox (badness 10000) in paragraph at lines 31844--31844 []\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 31859--31861 [] [317 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31879--31879 [] Underfull \hbox (badness 10000) in paragraph at lines 31879--31879 [318] [319 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32095--32097 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32115--32115 [] Underfull \hbox (badness 10000) in paragraph at lines 32115--32115 [320] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32263--32265 [] [321 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32283--32283 [] Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 [322] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32431--32433 [] [323 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32451--32451 [] Underfull \hbox (badness 10000) in paragraph at lines 32451--32451 [324] Underfull \hbox (badness 10000) in paragraph at lines 32586--32586 []\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 32601--32603 [] [325 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32621--32621 [] Underfull \hbox (badness 10000) in paragraph at lines 32621--32621 [326] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32769--32771 [] [327 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32789--32789 [] Underfull \hbox (badness 10000) in paragraph at lines 32789--32789 [328] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32937--32939 [] [329 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32957--32957 [] Underfull \hbox (badness 10000) in paragraph at lines 32957--32957 [330] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33105--33107 [] [331 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33125--33125 [] Underfull \hbox (badness 10000) in paragraph at lines 33125--33125 [332] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33273--33275 [] [333 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33293--33293 [] Underfull \hbox (badness 10000) in paragraph at lines 33293--33293 [334] Underfull \hbox (badness 10000) in paragraph at lines 33428--33428 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33428--33428 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 33428--33428 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33443--33445 [] [335 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33463--33463 [] Underfull \hbox (badness 10000) in paragraph at lines 33463--33463 [336] [337 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [338] Overfull \hbox (42.52957pt too wide) in paragraph at lines 33762--33764 [] [339] [340] [341 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [342] Underfull \hbox (badness 10000) in paragraph at lines 34305--34305 []\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- [343 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34463--34463 []\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 34463--34463 \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- [344 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34520--34520 []\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 , [345] [346 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [347] [348 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [349 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [350 <./inhe ritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] [351] [352 <./inheritanc e-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] [353 <./inheritance-e4e3c9a0f1 f793dff1f76aef52409da9ed9af5b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35380--35382 []\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 [354 <./inheritance-72007caa0939d731540e614fb6d9eec807dcbcb9.pdf>] [355] Underfull \hbox (badness 10000) in paragraph at lines 35625--35627 []\T1/ptm/m/n/10 are [356 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35666--35668 []\T1/ptm/m/n/10 and [357 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [358 <./inhe ritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [359 <./inheritance-816e 3c91555eb5224de51c60c4e28e23db747d97.pdf>] [360 <./inheritance-5576b771f5615739 cf327a6dd55b510a3f280ea6.pdf>] [361 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e 3e94de4b6ce9.pdf>] [362 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316 .pdf>] [363] [364] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 36496--36497 []\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 36514--36515 []\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 36529--36530 []\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 [365] [366] Underfull \hbox (badness 10000) in paragraph at lines 36692--36693 []\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 [367] Underfull \hbox (badness 10000) in paragraph at lines 36778--36779 []\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 [368] [369] Underfull \hbox (badness 10000) in paragraph at lines 36992--36995 [] [370] [371] Underfull \hbox (badness 10000) in paragraph at lines 37214--37215 []\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 37241--37242 []\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 37244--37245 []\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 [372] Underfull \hbox (badness 10000) in paragraph at lines 37268--37269 []\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. Underfull \hbox (badness 10000) in paragraph at lines 37332--37333 []\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. [373] Underfull \hbox (badness 10000) in paragraph at lines 37376--37377 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [374] Underfull \hbox (badness 10000) in paragraph at lines 37466--37467 []\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 Underfull \hbox (badness 10000) in paragraph at lines 37544--37545 []\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 37550--37551 []\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 [375] Underfull \hbox (badness 10000) in paragraph at lines 37586--37587 []\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 5374) in paragraph at lines 37602--37603 []\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 [376] Underfull \hbox (badness 10000) in paragraph at lines 37688--37689 []\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 [377] [378] Underfull \hbox (badness 10000) in paragraph at lines 37925--37926 []\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 37931--37932 []\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 , [379] Underfull \hbox (badness 10000) in paragraph at lines 38065--38066 []\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. [380] Underfull \hbox (badness 10000) in paragraph at lines 38083--38084 []\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 38125--38126 []\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 38128--38129 []\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. [381] Underfull \hbox (badness 8113) in paragraph at lines 38199--38200 []\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 38205--38206 []\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 38223--38224 []\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 [382] [383] Underfull \hbox (badness 10000) in paragraph at lines 38384--38385 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [384] [385] [386] (./feature-labs-inc-evalml.ind [387] [388] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [389] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 BinaryClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 189--191 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 189--191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class [390] Underfull \hbox (badness 10000) in paragraph at lines 191--193 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 191--193 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 193--195 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 197--199 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 201--203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 203--205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 215--217 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 215--217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 217--219 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 219--221 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 219--221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 227--229 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 231--233 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 235--237 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 235--237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 237--239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 239--241 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 243--245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 245--247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 249--251 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 249--251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 251--253 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 251--253 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 253--255 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 257--259 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 259--261 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [391] Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 267--269 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\T1/pcr/m/n/10 ClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 278--279 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 285--287 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (8.02017pt too wide) in paragraph at lines 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineClassifier Overfull \hbox (9.46036pt too wide) in paragraph at lines 291--293 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineRegressor Overfull \hbox (10.81021pt too wide) in paragraph at lines 293--295 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostClassifier Overfull \hbox (12.2504pt too wide) in paragraph at lines 295--297 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostRegressor Overfull \hbox (0.79085pt too wide) in paragraph at lines 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ComponentBase Overfull \hbox (15.60025pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 303--305 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 305--307 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropColumns Overfull \hbox (8.69058pt too wide) in paragraph at lines 307--309 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropNullColumns Overfull \hbox (15.24988pt too wide) in paragraph at lines 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetClassifier Overfull \hbox (16.69006pt too wide) in paragraph at lines 311--313 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 313--314 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Estimator Overfull \hbox (16.9501pt too wide) in paragraph at lines 314--316 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesClassifier Overfull \hbox (18.39029pt too wide) in paragraph at lines 316--318 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 318--319 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 319--321 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (1.69048pt too wide) in paragraph at lines 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LinearRegressor Overfull \hbox (49.3796pt too wide) in paragraph at lines 323--325 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LogisticRegressionClassifier Overfull \hbox (0.78084pt too wide) in paragraph at lines 325--327 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.OneHotEncoder Overfull \hbox (12.21062pt too wide) in paragraph at lines 327--329 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.PerColumnImputer Overfull \hbox (31.60023pt too wide) in paragraph at lines 329--331 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestClassifier Overfull \hbox (33.04042pt too wide) in paragraph at lines 331--333 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestRegressor Overfull \hbox (56.44995pt too wide) in paragraph at lines 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFClassifierSelectFromModel Overfull \hbox (57.89014pt too wide) in paragraph at lines 335--337 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Transformer Overfull \hbox (9.69035pt too wide) in paragraph at lines 351--353 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostClassifier Overfull \hbox (11.13054pt too wide) in paragraph at lines 353--355 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor Overfull \hbox (19.18016pt too wide) in paragraph at lines 355--357 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 357--359 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 361--363 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [392] Overfull \hbox (27.96046pt too wide) in paragraph at lines 365--367 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 367--369 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 369--371 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 371--373 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 373--375 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 377--378 []\T1/pcr/m/n/10 ComponentBase \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 416--418 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 432--434 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 434--435 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10 DataCheckMessageType \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 DateTimeFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [393] Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 457--458 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [394] Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 545--547 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 545--547 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 552--554 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 554--556 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 572--574 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 574--576 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 576--578 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 578--580 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 580--582 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 582--584 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 588--589 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 589--591 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 593--595 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 597--599 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (49.60023pt too wide) in paragraph at lines 599--601 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (74.44995pt too wide) in paragraph at lines 603--605 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 605--607 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (12.68059pt too wide) in paragraph at lines 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [395] Overfull \hbox (10.81046pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 631--633 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 634--635 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 635--636 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 635--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 641--642 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 650--652 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 652--654 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 654--656 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 668--669 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 690--692 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 692--693 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 695--697 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 697--699 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 699--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 702--704 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 705--707 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 707--709 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier Underfull \hbox (badness 10000) in paragraph at lines 711--713 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [396] Overfull \hbox (19.60023pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 719--721 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 721--723 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 729--731 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 731--733 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 740--742 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 746--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 749--750 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 750--752 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (39.46088pt too wide) in paragraph at lines 752--754 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 754--756 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 756--758 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 758--760 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 760--762 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 766--768 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 768--770 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 770--772 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (40.81046pt too wide) in paragraph at lines 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TextFeaturizer Overfull \hbox (33.10078pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 788--790 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 790--792 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 792--794 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 794--796 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 796--798 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 798--800 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 800--802 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 802--804 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 805--807 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 809--810 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel [397] Overfull \hbox (81.89014pt too wide) in paragraph at lines 818--820 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 836--838 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 838--840 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 840--842 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 842--844 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 graph_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 graph_roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 handle_model_family() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 handle_problem_types() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 888--889 []\T1/pcr/m/n/10 HighlyNullDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 889--891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 891--893 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 891--893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 893--895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 895--897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [398] Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 915--917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 917--919 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 917--919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 921--923 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 921--923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 923--925 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 923--925 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 925--927 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 927--929 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 929--931 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 929--931 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 931--933 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 931--933 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 933--935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 935--937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 937--939 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 937--939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 939--941 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 939--941 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 941--943 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 943--945 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 943--945 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 945--947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 947--949 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 947--949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 949--951 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 949--951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 951--953 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 953--955 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 959--961 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 961--963 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 969--970 []\T1/pcr/m/n/10 InvalidTargetDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 970--972 \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 972--974 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 972--974 \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 974--976 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\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 984--986 []\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 986--987 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [399] Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\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 992--994 []\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 998--1000 []\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 1000--1002 []\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 1002--1004 []\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 1004--1006 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1020--1022 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox (10.9501pt too wide) in paragraph at lines 1024--1026 []\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 1026--1028 []\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 1028--1030 []\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 1030--1032 []\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 1034--1036 []\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 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\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 1046--1048 []\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 1048--1050 []\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 1050--1052 []\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 1052--1054 []\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 1054--1056 []\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 1056--1058 []\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 1058--1060 []\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 1060--1062 []\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 1062--1064 []\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 1064--1066 []\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 1066--1068 []\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 1070--1072 []\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 1072--1074 []\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 1075--1077 []\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 1083--1085 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [400] Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 []\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 1103--1105 []\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 1105--1107 []\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 1107--1108 []\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 1108--1110 []\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 1110--1112 []\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 1112--1114 []\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 1114--1116 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (38.02017pt too wide) in paragraph at lines 1116--1118 []\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 1118--1120 []\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 1120--1122 []\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 1122--1124 []\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 1124--1126 []\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 1126--1128 []\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 1128--1130 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1130--1132 []\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 1132--1134 []\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 1134--1136 []\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 1136--1138 []\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 1138--1140 []\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 1140--1142 []\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 1144--1146 []\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 1146--1148 []\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 1148--1150 []\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 1150--1152 []\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 1152--1154 []\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 1154--1156 []\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 1156--1158 []\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 1158--1160 []\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 1160--1162 []\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 1162--1164 []\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 1164--1166 []\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 1166--1168 []\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 1168--1170 []\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 1170--1172 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (22.81046pt too wide) in paragraph at lines 1172--1174 []\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 1174--1176 []\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 1176--1178 []\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 1178--1180 []\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 1180--1182 []\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 1182--1184 []\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 1186--1188 []\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 1193--1195 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck [401] Underfull \hbox (badness 10000) in paragraph at lines 1196--1198 []\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 1198--1199 []\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 1201--1203 []\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 1206--1208 []\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 1216--1218 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 []\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 1220--1222 []\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 1226--1228 []\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 1228--1230 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1230--1232 []\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 1232--1234 []\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 1247--1249 []\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 1253--1255 []\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 1255--1257 []\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 1257--1259 []\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 1259--1261 []\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 1265--1267 []\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 1267--1269 []\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 1273--1275 []\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 1275--1277 []\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 1277--1279 []\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 1286--1287 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1287--1289 []\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 1289--1291 []\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 1291--1293 []\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 1293--1294 []\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 1294--1295 []\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 1298--1300 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [402] Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1302--1303 []\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 1303--1305 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 \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 1309--1311 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1311--1313 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1311--1313 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1313--1315 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1313--1315 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1315--1317 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1317--1319 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1317--1319 \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 1319--1320 []\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 1320--1322 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1322--1324 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1324--1326 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1324--1326 \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 1326--1328 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1328--1330 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1328--1330 \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 1330--1332 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1330--1332 \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 1332--1334 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1334--1335 []\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 1335--1337 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 \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 1339--1341 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1339--1341 \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 1341--1343 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1341--1343 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1343--1345 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1345--1346 []\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 1346--1348 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1346--1348 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1348--1350 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1348--1350 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1350--1352 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 \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 1354--1356 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 \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 1356--1358 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1358--1359 []\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 1359--1360 []\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 1360--1362 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 \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 1362--1364 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 \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 1364--1366 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1364--1366 \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 1366--1368 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1366--1368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1370--1372 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1370--1372 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1373--1374 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [403] Underfull \hbox (badness 10000) in paragraph at lines 1374--1376 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1374--1376 \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 1376--1377 []\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 1377--1379 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1379--1381 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1383--1384 []\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 1384--1386 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1386--1388 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1386--1388 \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 1388--1390 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1388--1390 \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 1390--1392 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1390--1392 \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 1392--1394 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1394--1395 []\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 1399--1400 []\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 1402--1404 []\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 1407--1409 []\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 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1415--1417 []\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 1417--1419 []\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 1419--1421 []\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 1421--1423 []\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 1423--1425 []\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 1425--1427 []\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 1427--1429 []\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 1429--1431 []\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 1431--1433 []\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 1433--1435 []\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 1435--1437 []\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 1437--1439 []\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 1439--1441 []\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 1441--1443 []\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 1443--1445 []\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 1445--1447 []\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 1447--1449 []\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 1449--1451 []\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 1451--1453 []\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 1453--1455 []\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 1455--1457 []\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 1457--1459 []\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 1459--1461 []\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 1461--1463 []\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 1463--1465 []\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 1465--1466 []\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 1466--1467 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline [404] Overfull \hbox (27.96046pt too wide) in paragraph at lines 1467--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\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 1475--1477 []\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 1477--1479 []\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 1479--1481 []\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 1481--1483 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1483--1485 []\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 1485--1487 []\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 1487--1489 []\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 1489--1491 []\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 1491--1493 []\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 1493--1495 []\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 1495--1497 []\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 1497--1499 []\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 1499--1501 []\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 1501--1503 []\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 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\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 1513--1515 []\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 1515--1517 []\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 1517--1519 []\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 1519--1521 []\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 1521--1523 []\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 1523--1525 []\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 1525--1527 []\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 1527--1529 []\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 1529--1531 []\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 1531--1533 []\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 1533--1535 []\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 1535--1537 []\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 1537--1539 []\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 1539--1540 []\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 1540--1542 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1544--1545 []\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 1551--1553 []\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 1553--1555 []\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 1562--1564 []\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 1564--1566 []\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 1566--1567 []\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 1567--1568 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [405] Underfull \hbox (badness 10000) in paragraph at lines 1568--1569 []\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 1573--1574 []\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 1574--1576 []\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 1576--1578 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1580--1581 []\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 1581--1583 []\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 1583--1585 []\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 1585--1587 []\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 1587--1589 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1597--1598 []\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 1598--1600 []\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 1600--1602 []\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 1602--1604 []\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 1604--1605 []\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 1605--1607 []\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 1607--1609 []\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 1610--1612 []\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 1614--1616 []\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 1618--1620 []\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 1620--1622 []\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 1622--1624 []\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 1624--1626 []\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 1626--1628 []\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 1628--1630 []\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 1630--1632 []\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 1632--1634 []\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 1634--1636 []\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 1636--1638 []\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 1638--1640 []\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 1640--1641 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1649--1651 []\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 1651--1653 []\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 1656--1657 []\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 1661--1663 []\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 1663--1665 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass [406] Overfull \hbox (9.39989pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1675--1676 []\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 1676--1677 []\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 1681--1682 []\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 1684--1686 []\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 1686--1687 []\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 1690--1691 []\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 1696--1697 []\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 1697--1698 []\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 1698--1700 []\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 1700--1702 []\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 1706--1708 []\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 1708--1710 []\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 1710--1712 []\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 1712--1714 []\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 1714--1716 []\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 1716--1718 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1721--1722 []\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 1722--1723 []\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 1725--1727 []\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 1727--1729 []\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 1729--1730 []\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 1736--1738 []\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 1738--1740 []\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 1740--1742 []\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 1742--1744 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1742--1744 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1744--1746 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1744--1746 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1746--1748 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1746--1748 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1748--1750 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1748--1750 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1750--1752 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1750--1752 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier [407] Underfull \hbox (badness 10000) in paragraph at lines 1752--1754 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1752--1754 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1754--1756 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1754--1756 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1756--1758 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1756--1758 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1758--1760 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1758--1760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1760--1762 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1760--1762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1762--1764 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1766--1768 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1766--1768 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1768--1770 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1768--1770 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1770--1772 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1770--1772 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1772--1774 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1772--1774 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1774--1776 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1774--1776 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1776--1778 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1776--1778 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1778--1780 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1778--1780 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1783--1784 []\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 1784--1785 []\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 1785--1786 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (39.60025pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1788--1790 []\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 1790--1792 []\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 1792--1794 []\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 1794--1796 []\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 1796--1798 []\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 1798--1800 []\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 1800--1802 []\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 1802--1804 []\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 1804--1806 []\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 1806--1808 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (16.81046pt too wide) in paragraph at lines 1808--1810 []\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 1810--1812 []\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 1817--1819 []\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 1820--1821 []\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 1823--1825 []\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 1825--1827 []\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 1827--1829 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1829--1831 []\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 1831--1833 []\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 1833--1835 []\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 1835--1837 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 \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 1837--1839 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1837--1839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass [408] Underfull \hbox (badness 10000) in paragraph at lines 1839--1840 []\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 1841--1842 []\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 1842--1844 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1842--1844 \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 1844--1846 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1846--1848 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1846--1848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1848--1850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1855--1856 []\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 1856--1857 []\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 1859--1860 []\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 1862--1864 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1862--1864 \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 1864--1866 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1866--1867 []\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 1867--1868 []\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 1869--1871 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1869--1871 \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 1871--1873 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1871--1873 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1873--1874 []\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 1874--1875 []\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 1875--1877 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1875--1877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 \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 1879--1880 []\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 1880--1882 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1880--1882 \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 1882--1884 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1882--1884 \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 1884--1886 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1887--1888 []\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 1888--1890 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1888--1890 \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 1892--1894 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1892--1894 \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 1894--1896 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1896--1898 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1896--1898 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1898--1900 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1898--1900 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1903--1905 []\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 1905--1906 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [409]) (./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 (413 pages, 1896089 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.out' 'feature-labs-inc-evalml.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] Overfull \vbox (1.9258pt too high) detected at line 552 [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.651 ...t=2800.0\sphinxpxdimen]{{start_22_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] Overfull \vbox (2.03934pt too high) detected at line 1022 [12] [13] [14] [15] [16] [17] [18] Overfull \vbox (2.03934pt too high) detected at line 1693 [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] Overfull \vbox (2.03934pt too high) detected at line 2869 [31] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2891 ...inxpxdimen]{{demos_text_input_19_0}.svg} [32] Overfull \vbox (0.98254pt too high) detected at line 3081 [33] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3155 ...inxpxdimen]{{demos_text_input_33_0}.svg} [34] [35] [36] Chapter 4. [37] Overfull \vbox (0.98256pt too high) detected at line 3413 [38] [39] Underfull \hbox (badness 10000) in paragraph at lines 3465--3466 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3547 ...]{{keyboard_interrupt_demo_updated}.gif} [40] [41] [42] Underfull \vbox (badness 1337) detected at line 3808 [43] [44] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [45] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [46] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [47] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [48] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [49] Underfull \vbox (badness 10000) detected at line 4251 Overfull \vbox (2.68169pt too high) detected at line 4251 [50] Underfull \hbox (badness 10000) in paragraph at lines 4312--4313 []\T1/ptm/m/n/10 EvalML de-fines a base ob-jec-tive class for each prob-lem typ e: \T1/pcr/m/n/10 RegressionObjective\T1/ptm/m/n/10 , [51] [52] [53] Underfull \vbox (badness 10000) detected at line 4513 Overfull \vbox (2.68169pt too high) detected at line 4513 [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4887 Underfull \vbox (badness 10000) detected at line 4887 [59] [60] [61] [62] [63] Underfull \hbox (badness 10000) in paragraph at lines 5217--5219 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , [64] [65] [66] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.5485 ...xdimen]{{user_guide_pipelines_16_0}.svg} [67] [68] [69] Underfull \vbox (badness 10000) detected at line 5800 [70] [71] [72] [73] [74] [75] [76] [77] Underfull \vbox (badness 10000) detected at line 6553 Overfull \vbox (2.68169pt too high) detected at line 6553 [78] Overfull \vbox (2.68167pt too high) detected at line 6576 [79] [80] [81] Underfull \vbox (badness 10000) detected at line 6787 Overfull \vbox (2.68169pt too high) detected at line 6787 [82] [83] Underfull \hbox (badness 10000) in paragraph at lines 6849--6850 \T1/ptm/m/n/10 EvalML pro-vides two data checks to check for ab-nor-mal data: \ T1/pcr/m/n/10 OutliersDataCheck() \T1/ptm/m/n/10 and [84] [85] [86] [87] [88] Chapter 5. [89] [90] [91] Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 []\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 7506--7506 \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 7506--7506 \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 7506--7506 \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 7506--7506 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7506--7506 \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 en- sem-bling=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7570--7570 []\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 7570--7570 \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 7570--7570 \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 7570--7570 \T1/ptm/m/it/10 ad-di-tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ra n-dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 8170) in paragraph at lines 7570--7570 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\ T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti-mize_thresholds=False\T1/ptm/m/n/10 , \T1 /ptm/m/it/10 en- [92] Underfull \hbox (badness 7869) in paragraph at lines 7618--7622 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [93] [94] [95] Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7977--7977 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [96 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8021--8021 []\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 , [97] Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8131--8131 \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 8131--8131 \T1/ptm/m/it/10 ber_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 8175--8175 []\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 8175--8175 \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 , [98 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [99] Underfull \hbox (badness 5908) in paragraph at lines 8331--8333 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [100 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [101] [102] [103] [104 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 9008--9010 []\T1/ptm/m/n/10 by sorted(set(y)) [105] [106] [107] [108 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9. pdf>] [109] Underfull \hbox (badness 10000) in paragraph at lines 9473--9475 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 9544--9544 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [110] [111] Underfull \hbox (badness 10000) in paragraph at lines 9696--9696 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [112 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [113] Underfull \hbox (badness 10000) in paragraph at lines 9933--9935 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 10004--10004 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [114] [115] [116 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [117] [118] [119] [120 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [121] Underfull \hbox (badness 10000) in paragraph at lines 10902--10904 []\T1/ptm/m/n/10 by sorted(set(y)) [122] [123] [124 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [125] Underfull \hbox (badness 10000) in paragraph at lines 11398--11400 []\T1/ptm/m/n/10 by sorted(set(y)) [126] [127] [128 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [129] Underfull \hbox (badness 10000) in paragraph at lines 11899--11901 []\T1/ptm/m/n/10 by sorted(set(y)) [130] [131] [132] Underfull \hbox (badness 10000) in paragraph at lines 12122--12122 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [133 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [134] Underfull \hbox (badness 10000) in paragraph at lines 12395--12397 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 12466--12466 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [135] [136] [137 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [138] [139] [140] Underfull \hbox (badness 10000) in paragraph at lines 13112--13112 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [141 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [142] [143] Overfull \hbox (18.95404pt too wide) in paragraph at lines 13443--13443 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [144] Underfull \hbox (badness 10000) in paragraph at lines 13611--13611 []\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- [145 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13650--13650 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13650--13650 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 13651--13655 [] Underfull \hbox (badness 10000) in paragraph at lines 13743--13743 []\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 13743--13743 \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 , [146] Underfull \hbox (badness 10000) in paragraph at lines 13802--13802 []\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 , [147] Underfull \hbox (badness 10000) in paragraph at lines 13937--13937 []\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 13937--13937 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , [148 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [149] [150] Underfull \hbox (badness 10000) in paragraph at lines 14206--14206 []\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 , [151 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [152] [153 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14522--14522 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [154] Underfull \hbox (badness 10000) in paragraph at lines 14657--14657 []\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 14736--14738 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [155] [156] Underfull \hbox (badness 10000) in paragraph at lines 14977--14977 []\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 , [157 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 15056--15058 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [158] [159] Underfull \hbox (badness 10000) in paragraph at lines 15297--15297 \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 15297--15297 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [160 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [161] [162] [163] Underfull \hbox (badness 10000) in paragraph at lines 15692--15692 []\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 15692--15692 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 15816--15816 []\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 , [164 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Underfull \hbox (badness 7504) in paragraph at lines 15821--15825 []\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, [165] [166] Underfull \hbox (badness 10000) in paragraph at lines 16027--16027 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16027--16027 \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 16027--16027 \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 16027--16027 \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 , [167 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16151--16151 []\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 , [168] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16327--16329 [] [169] Underfull \hbox (badness 10000) in paragraph at lines 16365--16365 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16365--16365 \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 , [170 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [171] [172] Overfull \hbox (62.0307pt too wide) in paragraph at lines 16661--16663 [] [173 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [174] [175] Overfull \hbox (19.00412pt too wide) in paragraph at lines 17014--17014 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17014--17014 \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 17014--17014 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [176 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17143--17143 []\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 17143--17143 \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 17143--17143 \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 , [177] [178] Overfull \hbox (25.00412pt too wide) in paragraph at lines 17350--17350 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17350--17350 \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 17350--17350 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [179 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17479--17479 []\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 17479--17479 \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 17479--17479 \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 , [180] [181] Underfull \hbox (badness 10000) in paragraph at lines 17686--17686 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [182 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [183] [184] [185 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [186] [187] Underfull \hbox (badness 10000) in paragraph at lines 18334--18334 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [188 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 18738--18738 []\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 18738--18738 \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 18738--18738 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [191 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18886--18886 []\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 18886--18886 \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 , [192] [193] Underfull \hbox (badness 10000) in paragraph at lines 19065--19065 []\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 19065--19065 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19065--19065 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [194 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19379--19379 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [197 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19514--19514 []\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 19514--19514 \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 , [198] [199] Underfull \hbox (badness 10000) in paragraph at lines 19693--19693 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19693--19693 \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 , [200 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19828--19828 []\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- [201] Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20007--20007 \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 20007--20007 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [202 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20152--20152 \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 20152--20152 \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- [203] [204] Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 20331--20331 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [205 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20466--20466 []\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 20466--20466 \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- [206] [207] Underfull \hbox (badness 10000) in paragraph at lines 20645--20645 []\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 20645--20645 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20645--20645 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [208 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [209] [210] Underfull \hbox (badness 10000) in paragraph at lines 20969--20969 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [211 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [212] [213] Overfull \hbox (7.27411pt too wide) in paragraph at lines 21301--21301 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21301--21301 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [214 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21436--21436 []\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 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21645--21645 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [217 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 21780--21780 []\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 21780--21780 \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 , [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 22029--22029 []\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 22029--22029 \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 22029--22029 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [220 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22177--22177 []\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 22177--22177 \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 , [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 22356--22356 []\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 22356--22356 \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 22356--22356 \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 , [223 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 22670--22670 []\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 22670--22670 \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- [226 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [227] Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 22984--22984 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [228 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23119--23119 []\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 23119--23119 \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 , [229] [230] Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 \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 23298--23298 \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 , [231 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23433--23433 []\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- [232] [233] Underfull \hbox (badness 10000) in paragraph at lines 23612--23612 []\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 23612--23612 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23612--23612 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [234 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [235] [236] Underfull \hbox (badness 10000) in paragraph at lines 23936--23936 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [237 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [238] [239] Overfull \hbox (1.27411pt too wide) in paragraph at lines 24263--24263 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24263--24263 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 24263--24263 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 24263--24263 \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 24263--24263 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [240 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24398--24398 []\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 24607--24607 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24607--24607 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [243 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24742--24742 []\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 24742--24742 \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 25007--25007 []\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- [246 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25038--25038 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [247] Overfull \hbox (137.00916pt too wide) in paragraph at lines 25152--25152 [] Underfull \hbox (badness 10000) in paragraph at lines 25152--25152 Overfull \hbox (12.23114pt too wide) in paragraph at lines 25153--25153 [] Underfull \hbox (badness 10000) in paragraph at lines 25153--25153 Underfull \hbox (badness 10000) in paragraph at lines 25186--25186 []\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 25186--25186 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [248] Underfull \hbox (badness 10000) in paragraph at lines 25217--25217 []\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 25217--25217 \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 25250--25250 \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 25250--25250 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [249] Underfull \hbox (badness 10000) in paragraph at lines 25365--25365 []\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 25365--25365 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [250] Underfull \hbox (badness 10000) in paragraph at lines 25399--25399 []\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 25467--25467 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 25467--25467 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [251] Overfull \hbox (15.96457pt too wide) in paragraph at lines 25508--25508 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 25508--25508 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 25538--25540 [] [252] Overfull \hbox (81.96457pt too wide) in paragraph at lines 25554--25554 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 25554--25554 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 25592--25595 [] [253] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25719--25721 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25739--25739 [] Underfull \hbox (badness 10000) in paragraph at lines 25739--25739 [254] [255 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 25885--25885 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 25885--25885 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 25885--25885 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25900--25902 [] Underfull \hbox (badness 10000) in paragraph at lines 25919--25919 []\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 , Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25947--25947 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 25948--25948 [] Underfull \hbox (badness 10000) in paragraph at lines 25948--25948 [256] [257] Overfull \hbox (51.03467pt too wide) in paragraph at lines 26111--26111 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 26111--26111 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 26111--26111 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 26126--26128 [] Underfull \hbox (badness 10000) in paragraph at lines 26145--26145 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 26145--26145 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 26145--26145 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) [258 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26146--26146 [] Underfull \hbox (badness 10000) in paragraph at lines 26146--26146 [259] Underfull \hbox (badness 10000) in paragraph at lines 26281--26281 []\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 26296--26298 [] Underfull \hbox (badness 10000) in paragraph at lines 26315--26315 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , [260 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26316--26316 [] Underfull \hbox (badness 10000) in paragraph at lines 26316--26316 [261] Underfull \hbox (badness 10000) in paragraph at lines 26438--26438 []\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 , [262 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26548--26550 [] [263] [264] [265 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26817--26819 [] [266] Underfull \hbox (badness 10000) in paragraph at lines 26984--26984 []\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 , [267 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27078--27078 []\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 27093--27095 [] [268] [269] [270 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27462--27462 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [271] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27477--27479 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27525--27525 [] Underfull \hbox (badness 10000) in paragraph at lines 27525--27525 [272] [273 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27686--27686 []\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 27701--27703 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27721--27721 [] Underfull \hbox (badness 10000) in paragraph at lines 27721--27721 [274] [275 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27879--27881 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27927--27927 [] Underfull \hbox (badness 10000) in paragraph at lines 27927--27927 [276] [277 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28103--28105 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28123--28123 [] Underfull \hbox (badness 10000) in paragraph at lines 28123--28123 [278] [279 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28271--28273 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28291--28291 [] Underfull \hbox (badness 10000) in paragraph at lines 28291--28291 [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28439--28441 [] [281 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28459--28459 [] Underfull \hbox (badness 10000) in paragraph at lines 28459--28459 [282] Underfull \hbox (badness 10000) in paragraph at lines 28602--28602 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 28602--28602 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 28602--28602 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28617--28619 [] [283 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28665--28665 [] Underfull \hbox (badness 10000) in paragraph at lines 28665--28665 [284] [285 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 28826--28826 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 28826--28826 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 28826--28826 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 28841--28843 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28861--28861 [] Underfull \hbox (badness 10000) in paragraph at lines 28861--28861 [286] [287 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29019--29021 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29067--29067 [] Underfull \hbox (badness 10000) in paragraph at lines 29067--29067 [288] [289 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29243--29245 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29263--29263 [] Underfull \hbox (badness 10000) in paragraph at lines 29263--29263 [290] [291 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29411--29413 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29431--29431 [] Underfull \hbox (badness 10000) in paragraph at lines 29431--29431 [292] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29579--29581 [] [293 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29599--29599 [] Underfull \hbox (badness 10000) in paragraph at lines 29599--29599 [294] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29757--29759 [] [295 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29805--29805 [] Underfull \hbox (badness 10000) in paragraph at lines 29805--29805 [296] Underfull \hbox (badness 10000) in paragraph at lines 29966--29966 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [297 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29981--29983 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30001--30001 [] Underfull \hbox (badness 10000) in paragraph at lines 30001--30001 [298] [299 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30159--30161 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30207--30207 [] Underfull \hbox (badness 10000) in paragraph at lines 30207--30207 [300] [301 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30383--30385 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30403--30403 [] Underfull \hbox (badness 10000) in paragraph at lines 30403--30403 [302] [303 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30561--30563 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30609--30609 [] Underfull \hbox (badness 10000) in paragraph at lines 30609--30609 [304] [305 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30770--30770 []\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 30785--30787 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30805--30805 [] Underfull \hbox (badness 10000) in paragraph at lines 30805--30805 [306] Underfull \hbox (badness 10000) in paragraph at lines 30938--30938 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [307 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30953--30955 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30973--30973 [] Underfull \hbox (badness 10000) in paragraph at lines 30973--30973 [308] Underfull \hbox (badness 10000) in paragraph at lines 31106--31106 []\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 31121--31123 [] [309 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31141--31141 [] Underfull \hbox (badness 10000) in paragraph at lines 31141--31141 [310] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31299--31301 [] [311 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31347--31347 [] Underfull \hbox (badness 10000) in paragraph at lines 31347--31347 [312] [313 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31523--31525 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31543--31543 [] Underfull \hbox (badness 10000) in paragraph at lines 31543--31543 [314] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31691--31693 [] [315 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31711--31711 [] Underfull \hbox (badness 10000) in paragraph at lines 31711--31711 [316] Underfull \hbox (badness 10000) in paragraph at lines 31844--31844 []\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 31859--31861 [] [317 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31879--31879 [] Underfull \hbox (badness 10000) in paragraph at lines 31879--31879 [318] [319 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32095--32097 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32115--32115 [] Underfull \hbox (badness 10000) in paragraph at lines 32115--32115 [320] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32263--32265 [] [321 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32283--32283 [] Underfull \hbox (badness 10000) in paragraph at lines 32283--32283 [322] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32431--32433 [] [323 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32451--32451 [] Underfull \hbox (badness 10000) in paragraph at lines 32451--32451 [324] Underfull \hbox (badness 10000) in paragraph at lines 32586--32586 []\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 32601--32603 [] [325 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32621--32621 [] Underfull \hbox (badness 10000) in paragraph at lines 32621--32621 [326] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32769--32771 [] [327 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32789--32789 [] Underfull \hbox (badness 10000) in paragraph at lines 32789--32789 [328] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32937--32939 [] [329 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32957--32957 [] Underfull \hbox (badness 10000) in paragraph at lines 32957--32957 [330] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33105--33107 [] [331 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33125--33125 [] Underfull \hbox (badness 10000) in paragraph at lines 33125--33125 [332] Overfull \hbox (10.35059pt too wide) in paragraph at lines 33273--33275 [] [333 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33293--33293 [] Underfull \hbox (badness 10000) in paragraph at lines 33293--33293 [334] Underfull \hbox (badness 10000) in paragraph at lines 33428--33428 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 33428--33428 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 33428--33428 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 33443--33445 [] [335 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 33463--33463 [] Underfull \hbox (badness 10000) in paragraph at lines 33463--33463 [336] [337 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [338] Overfull \hbox (42.52957pt too wide) in paragraph at lines 33762--33764 [] [339] [340] [341 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] [342] Underfull \hbox (badness 10000) in paragraph at lines 34305--34305 []\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- [343 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34463--34463 []\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 34463--34463 \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- [344 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 34520--34520 []\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 , [345] [346 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [347] [348 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [349 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [350 <./inhe ritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] [351] [352 <./inheritanc e-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] [353 <./inheritance-e4e3c9a0f1 f793dff1f76aef52409da9ed9af5b4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35380--35382 []\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 [354 <./inheritance-72007caa0939d731540e614fb6d9eec807dcbcb9.pdf>] [355] Underfull \hbox (badness 10000) in paragraph at lines 35625--35627 []\T1/ptm/m/n/10 are [356 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 35666--35668 []\T1/ptm/m/n/10 and [357 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] [358 <./inhe ritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] [359 <./inheritance-816e 3c91555eb5224de51c60c4e28e23db747d97.pdf>] [360 <./inheritance-5576b771f5615739 cf327a6dd55b510a3f280ea6.pdf>] [361 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e 3e94de4b6ce9.pdf>] [362 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316 .pdf>] [363] [364] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 36496--36497 []\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 36514--36515 []\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 36529--36530 []\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 [365] [366] Underfull \hbox (badness 10000) in paragraph at lines 36692--36693 []\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 [367] Underfull \hbox (badness 10000) in paragraph at lines 36778--36779 []\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 [368] [369] Underfull \hbox (badness 10000) in paragraph at lines 36992--36995 [] [370] [371] Underfull \hbox (badness 10000) in paragraph at lines 37214--37215 []\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 37241--37242 []\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 37244--37245 []\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 [372] Underfull \hbox (badness 10000) in paragraph at lines 37268--37269 []\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. Underfull \hbox (badness 10000) in paragraph at lines 37332--37333 []\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. [373] Underfull \hbox (badness 10000) in paragraph at lines 37376--37377 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [374] Underfull \hbox (badness 10000) in paragraph at lines 37466--37467 []\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 Underfull \hbox (badness 10000) in paragraph at lines 37544--37545 []\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 37550--37551 []\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 [375] Underfull \hbox (badness 10000) in paragraph at lines 37586--37587 []\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 5374) in paragraph at lines 37602--37603 []\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 [376] Underfull \hbox (badness 10000) in paragraph at lines 37688--37689 []\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 [377] [378] Underfull \hbox (badness 10000) in paragraph at lines 37925--37926 []\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 37931--37932 []\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 , [379] Underfull \hbox (badness 10000) in paragraph at lines 38065--38066 []\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. [380] Underfull \hbox (badness 10000) in paragraph at lines 38083--38084 []\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 38125--38126 []\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 38128--38129 []\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. [381] Underfull \hbox (badness 8113) in paragraph at lines 38199--38200 []\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 38205--38206 []\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 38223--38224 []\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 [382] [383] Underfull \hbox (badness 10000) in paragraph at lines 38384--38385 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [384] [385] [386] (./feature-labs-inc-evalml.ind [387] [388] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [389] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 BinaryClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 189--191 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 189--191 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class [390] Underfull \hbox (badness 10000) in paragraph at lines 191--193 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 191--193 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 193--195 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 195--197 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 197--199 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 199--201 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 201--203 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 201--203 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 203--205 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 203--205 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 205--207 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 205--207 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 209--211 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 211--213 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 213--215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Macro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 215--217 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 215--217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 217--219 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 219--221 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 219--221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.FraudCost class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 221--223 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 223--225 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 225--227 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 225--227 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 227--229 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 229--231 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 231--233 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 233--235 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 235--237 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 235--237 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 237--239 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 237--239 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MedianAE class method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 239--241 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 241--243 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 241--243 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 243--245 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 243--245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 245--247 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 245--247 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision class method\T1/ptm /m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 247--249 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 247--249 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 249--251 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 249--251 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 251--253 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 251--253 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 253--255 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 255--257 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 257--259 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 259--261 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 261--263 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 263--265 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 263--265 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [391] Underfull \hbox (badness 10000) in paragraph at lines 265--267 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 265--267 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 267--269 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 267--269 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 269--271 []\T1/pcr/m/n/10 calculate_permutation_importance() \T1/ptm/m/n/10 (\T1/ptm/m/i t/10 in Underfull \hbox (badness 10000) in paragraph at lines 271--273 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 273--275 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 277--278 []\T1/pcr/m/n/10 ClassificationPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 278--279 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 279--281 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 285--287 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 287--289 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (8.02017pt too wide) in paragraph at lines 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineClassifier Overfull \hbox (9.46036pt too wide) in paragraph at lines 291--293 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.BaselineRegressor Overfull \hbox (10.81021pt too wide) in paragraph at lines 293--295 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostClassifier Overfull \hbox (12.2504pt too wide) in paragraph at lines 295--297 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.CatBoostRegressor Overfull \hbox (0.79085pt too wide) in paragraph at lines 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ComponentBase Overfull \hbox (15.60025pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 303--305 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 305--307 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropColumns Overfull \hbox (8.69058pt too wide) in paragraph at lines 307--309 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DropNullColumns Overfull \hbox (15.24988pt too wide) in paragraph at lines 309--311 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetClassifier Overfull \hbox (16.69006pt too wide) in paragraph at lines 311--313 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 313--314 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Estimator Overfull \hbox (16.9501pt too wide) in paragraph at lines 314--316 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesClassifier Overfull \hbox (18.39029pt too wide) in paragraph at lines 316--318 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 318--319 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Imputer Overfull \hbox (16.36026pt too wide) in paragraph at lines 319--321 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LightGBMClassifier Overfull \hbox (1.69048pt too wide) in paragraph at lines 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LinearRegressor Overfull \hbox (49.3796pt too wide) in paragraph at lines 323--325 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.LogisticRegressionClassifier Overfull \hbox (0.78084pt too wide) in paragraph at lines 325--327 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.OneHotEncoder Overfull \hbox (12.21062pt too wide) in paragraph at lines 327--329 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.PerColumnImputer Overfull \hbox (31.60023pt too wide) in paragraph at lines 329--331 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestClassifier Overfull \hbox (33.04042pt too wide) in paragraph at lines 331--333 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RandomForestRegressor Overfull \hbox (56.44995pt too wide) in paragraph at lines 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFClassifierSelectFromModel Overfull \hbox (57.89014pt too wide) in paragraph at lines 335--337 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 347--349 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 349--351 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.Transformer Overfull \hbox (9.69035pt too wide) in paragraph at lines 351--353 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostClassifier Overfull \hbox (11.13054pt too wide) in paragraph at lines 353--355 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.XGBoostRegressor Overfull \hbox (19.18016pt too wide) in paragraph at lines 355--357 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 357--359 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 361--363 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [392] Overfull \hbox (27.96046pt too wide) in paragraph at lines 365--367 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 367--369 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 369--371 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 371--373 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 373--375 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 375--377 []\T1/pcr/m/n/10 component_graph \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 377--378 []\T1/pcr/m/n/10 ComponentBase \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10 confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 416--418 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineBinaryPipeline Overfull \hbox (18.41pt too wide) in paragraph at lines 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineMulticlassPipeline Overfull \hbox (20.41026pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 422--424 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 426--428 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M eanBaselineRegressionPipeline Overfull \hbox (26.73036pt too wide) in paragraph at lines 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineBinaryPipeline Overfull \hbox (41.1799pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 432--434 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 434--435 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10 DataCheckMessageType \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 DateTimeFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [393] Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.AUC Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 457--458 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.F1 Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LeadScoring method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [394] Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 545--547 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 545--547 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 552--554 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 554--556 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 556--558 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 572--574 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 574--576 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 576--578 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns Overfull \hbox (33.24988pt too wide) in paragraph at lines 578--580 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 580--582 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 582--584 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 588--589 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 589--591 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 593--595 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 595--597 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 597--599 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (49.60023pt too wide) in paragraph at lines 599--601 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (74.44995pt too wide) in paragraph at lines 603--605 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 605--607 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (12.68059pt too wide) in paragraph at lines 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [395] Overfull \hbox (10.81046pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 631--633 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 634--635 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 635--636 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 635--636 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.AutoMLSearch method\T1/ptm/m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 638--640 []\T1/pcr/m/n/10 drop_nan_target_rows() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 641--642 []\T1/pcr/m/n/10 DropNullColumns \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 645--647 []\T1/pcr/m/n/10 ElasticNetClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 647--649 []\T1/pcr/m/n/10 ElasticNetRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10 explain_prediction() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Overfull \hbox (31.08055pt too wide) in paragraph at lines 650--652 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10 explain_predictions() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Overfull \hbox (31.08055pt too wide) in paragraph at lines 652--654 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Overfull \hbox (45.20041pt too wide) in paragraph at lines 654--656 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 657--659 []\T1/pcr/m/n/10 ExtraTreesClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 659--661 []\T1/pcr/m/n/10 ExtraTreesRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 668--669 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baselin eRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryC lassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ComponentBase Overfull \hbox (3.60025pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 690--692 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 692--693 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DropColumns Overfull \hbox (3.24988pt too wide) in paragraph at lines 695--697 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetClassifier Overfull \hbox (4.69006pt too wide) in paragraph at lines 697--699 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 699--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Estimator Overfull \hbox (4.9501pt too wide) in paragraph at lines 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 702--704 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesRegressor Overfull \hbox (4.36026pt too wide) in paragraph at lines 705--707 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 707--709 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LinearRegressor Overfull \hbox (37.3796pt too wide) in paragraph at lines 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.LogisticRegressionClassifier Underfull \hbox (badness 10000) in paragraph at lines 711--713 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [396] Overfull \hbox (19.60023pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestClassifier Overfull \hbox (21.04042pt too wide) in paragraph at lines 717--719 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RandomForestRegressor Overfull \hbox (44.44995pt too wide) in paragraph at lines 719--721 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFClassifierSelectFromModel Overfull \hbox (45.89014pt too wide) in paragraph at lines 721--723 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 729--731 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 731--733 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 733--735 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.Transformer Overfull \hbox (7.18016pt too wide) in paragraph at lines 740--742 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBas elineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 742--744 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineBinaryPipeline Overfull \hbox (5.1799pt too wide) in paragraph at lines 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBas elineMulticlassPipeline Overfull \hbox (2.97968pt too wide) in paragraph at lines 746--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 749--750 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 750--752 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DateTimeFeaturizer Overfull \hbox (39.46088pt too wide) in paragraph at lines 752--754 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropColumns Overfull \hbox (56.69058pt too wide) in paragraph at lines 754--756 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DropNullColumns Overfull \hbox (14.90096pt too wide) in paragraph at lines 756--758 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Imputer Overfull \hbox (48.78084pt too wide) in paragraph at lines 758--760 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder Overfull \hbox (60.21062pt too wide) in paragraph at lines 760--762 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.PerColumnImputer Overfull \hbox (104.44995pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFClassifierSelectFromModel Overfull \hbox (105.89014pt too wide) in paragraph at lines 764--766 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RFRegressorSelectFromModel Overfull \hbox (42.68059pt too wide) in paragraph at lines 766--768 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SelectColumns Overfull \hbox (42.12065pt too wide) in paragraph at lines 768--770 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.SimpleImputer Overfull \hbox (45.09074pt too wide) in paragraph at lines 770--772 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StandardScaler Overfull \hbox (40.81046pt too wide) in paragraph at lines 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.TextFeaturizer Overfull \hbox (33.10078pt too wide) in paragraph at lines 774--776 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 780--782 []\T1/pcr/m/n/10 generate_component_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 782--784 []\T1/pcr/m/n/10 generate_pipeline_code() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 788--790 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 790--792 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 792--794 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BinaryClassificationPipeline Overfull \hbox (21.31042pt too wide) in paragraph at lines 794--796 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ClassificationPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 796--798 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 798--800 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 800--802 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Overfull \hbox (62.97968pt too wide) in paragraph at lines 802--804 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.PipelineBase Overfull \hbox (9.97072pt too wide) in paragraph at lines 805--807 []\T1/pcr/m/n/10 get_component() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 809--810 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 816--818 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel [397] Overfull \hbox (81.89014pt too wide) in paragraph at lines 818--820 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 823--824 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Basel ineBinaryPipeline Overfull \hbox (0.53014pt too wide) in paragraph at lines 832--834 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Binar yClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Class ificationPipeline Overfull \hbox (19.18016pt too wide) in paragraph at lines 836--838 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt too wide) in paragraph at lines 838--840 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt too wide) in paragraph at lines 840--842 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt too wide) in paragraph at lines 842--844 []\T1/pcr/m/n/10 graph() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 graph_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 graph_roc_curve() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 handle_model_family() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 handle_problem_types() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 888--889 []\T1/pcr/m/n/10 HighlyNullDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 889--891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 891--893 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 891--893 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 893--895 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 893--895 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 895--897 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 895--897 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 897--899 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 899--901 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 899--901 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 901--903 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 901--903 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 903--905 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 903--905 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns [398] Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 905--907 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 907--909 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 909--911 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 909--911 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 911--913 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 911--913 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 913--915 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 913--915 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 915--917 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 915--917 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 917--919 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 917--919 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 919--921 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 919--921 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 921--923 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 921--923 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 923--925 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 923--925 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 925--927 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 925--927 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 927--929 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 929--931 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 929--931 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 931--933 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 931--933 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 933--935 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 933--935 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 935--937 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 937--939 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 937--939 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 939--941 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 939--941 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 941--943 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 941--943 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 943--945 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 943--945 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 945--947 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 945--947 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 947--949 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 947--949 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 949--951 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 949--951 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 951--953 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline Overfull \hbox (42.41pt too wide) in paragraph at lines 953--955 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (44.41026pt too wide) in paragraph at lines 955--957 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineRegressionPipeline Overfull \hbox (67.18016pt too wide) in paragraph at lines 957--959 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline Overfull \hbox (50.73036pt too wide) in paragraph at lines 959--961 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineBinaryPipeline Overfull \hbox (65.1799pt too wide) in paragraph at lines 961--963 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 969--970 []\T1/pcr/m/n/10 InvalidTargetDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 970--972 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 970--972 \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 972--974 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 972--974 \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 974--976 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 976--978 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\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 984--986 []\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 986--987 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [399] Underfull \hbox (badness 10000) in paragraph at lines 990--992 []\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 992--994 []\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 998--1000 []\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 1000--1002 []\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 1002--1004 []\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 1004--1006 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1014--1016 []\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 1016--1018 []\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 1018--1020 []\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 1020--1022 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.ElasticNetRegressor Overfull \hbox (10.9501pt too wide) in paragraph at lines 1024--1026 []\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 1026--1028 []\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 1028--1030 []\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 1030--1032 []\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 1034--1036 []\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 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\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 1046--1048 []\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 1048--1050 []\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 1050--1052 []\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 1052--1054 []\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 1054--1056 []\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 1056--1058 []\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 1058--1060 []\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 1060--1062 []\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 1062--1064 []\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 1064--1066 []\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 1066--1068 []\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 1070--1072 []\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 1072--1074 []\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 1075--1077 []\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 1083--1085 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [400] Underfull \hbox (badness 10000) in paragraph at lines 1097--1099 []\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 1103--1105 []\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 1105--1107 []\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 1107--1108 []\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 1108--1110 []\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 1110--1112 []\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 1112--1114 []\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 1114--1116 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (38.02017pt too wide) in paragraph at lines 1116--1118 []\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 1118--1120 []\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 1120--1122 []\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 1122--1124 []\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 1124--1126 []\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 1126--1128 []\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 1128--1130 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1130--1132 []\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 1132--1134 []\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 1134--1136 []\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 1136--1138 []\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 1138--1140 []\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 1140--1142 []\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 1144--1146 []\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 1146--1148 []\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 1148--1150 []\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 1150--1152 []\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 1152--1154 []\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 1154--1156 []\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 1156--1158 []\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 1158--1160 []\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 1160--1162 []\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 1162--1164 []\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 1164--1166 []\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 1166--1168 []\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 1168--1170 []\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 1170--1172 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StandardScaler Overfull \hbox (22.81046pt too wide) in paragraph at lines 1172--1174 []\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 1174--1176 []\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 1176--1178 []\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 1178--1180 []\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 1180--1182 []\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 1182--1184 []\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 1186--1188 []\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 1193--1195 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck [401] Underfull \hbox (badness 10000) in paragraph at lines 1196--1198 []\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 1198--1199 []\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 1201--1203 []\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 1206--1208 []\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 1216--1218 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1218--1220 []\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 1220--1222 []\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 1226--1228 []\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 1228--1230 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1230--1232 []\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 1232--1234 []\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 1247--1249 []\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 1253--1255 []\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 1255--1257 []\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 1257--1259 []\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 1259--1261 []\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 1265--1267 []\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 1267--1269 []\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 1273--1275 []\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 1275--1277 []\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 1277--1279 []\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 1286--1287 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1287--1289 []\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 1289--1291 []\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 1291--1293 []\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 1293--1294 []\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 1294--1295 []\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 1298--1300 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1298--1300 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [402] Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1300--1302 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1302--1303 []\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 1303--1305 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 \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 1309--1311 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1311--1313 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1311--1313 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1313--1315 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1313--1315 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1315--1317 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1317--1319 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1317--1319 \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 1319--1320 []\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 1320--1322 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1322--1324 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1324--1326 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1324--1326 \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 1326--1328 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1328--1330 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1328--1330 \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 1330--1332 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1330--1332 \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 1332--1334 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1334--1335 []\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 1335--1337 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1337--1339 \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 1339--1341 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1339--1341 \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 1341--1343 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1341--1343 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1343--1345 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1345--1346 []\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 1346--1348 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1346--1348 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1348--1350 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1348--1350 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1350--1352 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 \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 1354--1356 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 \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 1356--1358 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1358--1359 []\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 1359--1360 []\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 1360--1362 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 \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 1362--1364 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 \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 1364--1366 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1364--1366 \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 1366--1368 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1366--1368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1370--1372 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1370--1372 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1373--1374 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [403] Underfull \hbox (badness 10000) in paragraph at lines 1374--1376 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1374--1376 \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 1376--1377 []\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 1377--1379 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1379--1381 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1379--1381 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1381--1383 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1383--1384 []\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 1384--1386 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1386--1388 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1386--1388 \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 1388--1390 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1388--1390 \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 1390--1392 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1390--1392 \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 1392--1394 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1394--1395 []\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 1399--1400 []\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 1402--1404 []\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 1407--1409 []\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 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1415--1417 []\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 1417--1419 []\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 1419--1421 []\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 1421--1423 []\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 1423--1425 []\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 1425--1427 []\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 1427--1429 []\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 1429--1431 []\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 1431--1433 []\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 1433--1435 []\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 1435--1437 []\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 1437--1439 []\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 1439--1441 []\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 1441--1443 []\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 1443--1445 []\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 1445--1447 []\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 1447--1449 []\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 1449--1451 []\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 1451--1453 []\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 1453--1455 []\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 1455--1457 []\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 1457--1459 []\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 1459--1461 []\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 1461--1463 []\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 1463--1465 []\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 1465--1466 []\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 1466--1467 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline [404] Overfull \hbox (27.96046pt too wide) in paragraph at lines 1467--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\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 1475--1477 []\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 1477--1479 []\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 1479--1481 []\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 1481--1483 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1483--1485 []\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 1485--1487 []\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 1487--1489 []\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 1489--1491 []\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 1491--1493 []\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 1493--1495 []\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 1495--1497 []\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 1497--1499 []\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 1499--1501 []\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 1501--1503 []\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 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\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 1513--1515 []\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 1515--1517 []\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 1517--1519 []\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 1519--1521 []\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 1521--1523 []\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 1523--1525 []\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 1525--1527 []\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 1527--1529 []\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 1529--1531 []\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 1531--1533 []\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 1533--1535 []\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 1535--1537 []\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 1537--1539 []\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 1539--1540 []\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 1540--1542 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1544--1545 []\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 1551--1553 []\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 1553--1555 []\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 1562--1564 []\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 1564--1566 []\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 1566--1567 []\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 1567--1568 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [405] Underfull \hbox (badness 10000) in paragraph at lines 1568--1569 []\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 1573--1574 []\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 1574--1576 []\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 1576--1578 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1580--1581 []\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 1581--1583 []\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 1583--1585 []\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 1585--1587 []\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 1587--1589 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1597--1598 []\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 1598--1600 []\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 1600--1602 []\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 1602--1604 []\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 1604--1605 []\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 1605--1607 []\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 1607--1609 []\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 1610--1612 []\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 1614--1616 []\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 1618--1620 []\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 1620--1622 []\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 1622--1624 []\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 1624--1626 []\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 1626--1628 []\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 1628--1630 []\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 1630--1632 []\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 1632--1634 []\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 1634--1636 []\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 1636--1638 []\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 1638--1640 []\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 1640--1641 []\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 1641--1643 []\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 1643--1645 []\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 1645--1647 []\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 1649--1651 []\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 1651--1653 []\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 1656--1657 []\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 1661--1663 []\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 1663--1665 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass [406] Overfull \hbox (9.39989pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1675--1676 []\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 1676--1677 []\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 1681--1682 []\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 1684--1686 []\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 1686--1687 []\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 1690--1691 []\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 1696--1697 []\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 1697--1698 []\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 1698--1700 []\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 1700--1702 []\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 1706--1708 []\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 1708--1710 []\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 1710--1712 []\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 1712--1714 []\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 1714--1716 []\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 1716--1718 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1721--1722 []\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 1722--1723 []\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 1725--1727 []\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 1727--1729 []\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 1729--1730 []\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 1736--1738 []\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 1738--1740 []\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 1740--1742 []\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 1742--1744 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1742--1744 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1744--1746 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1744--1746 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1746--1748 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1746--1748 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1748--1750 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1748--1750 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1750--1752 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1750--1752 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier [407] Underfull \hbox (badness 10000) in paragraph at lines 1752--1754 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1752--1754 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1754--1756 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1754--1756 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1756--1758 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1756--1758 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1758--1760 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1758--1760 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1760--1762 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1760--1762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1762--1764 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1766--1768 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1766--1768 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1768--1770 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1768--1770 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1770--1772 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1770--1772 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1772--1774 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1772--1774 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1774--1776 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1774--1776 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1776--1778 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1776--1778 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1778--1780 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1778--1780 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1783--1784 []\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 1784--1785 []\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 1785--1786 []\T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (39.60025pt too wide) in paragraph at lines 1786--1788 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.DateTimeFeaturizer Overfull \hbox (15.46088pt too wide) in paragraph at lines 1788--1790 []\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 1790--1792 []\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 1792--1794 []\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 1794--1796 []\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 1796--1798 []\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 1798--1800 []\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 1800--1802 []\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 1802--1804 []\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 1804--1806 []\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 1806--1808 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.StandardScaler Overfull \hbox (16.81046pt too wide) in paragraph at lines 1808--1810 []\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 1810--1812 []\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 1817--1819 []\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 1820--1821 []\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 1823--1825 []\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 1825--1827 []\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 1827--1829 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1829--1831 []\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 1831--1833 []\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 1833--1835 []\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 1835--1837 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 \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 1837--1839 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1837--1839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass [408] Underfull \hbox (badness 10000) in paragraph at lines 1839--1840 []\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 1841--1842 []\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 1842--1844 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1842--1844 \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 1844--1846 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1844--1846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1846--1848 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1846--1848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1848--1850 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1848--1850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1850--1852 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1855--1856 []\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 1856--1857 []\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 1859--1860 []\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 1862--1864 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1862--1864 \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 1864--1866 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1866--1867 []\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 1867--1868 []\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 1869--1871 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1869--1871 \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 1871--1873 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1871--1873 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1873--1874 []\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 1874--1875 []\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 1875--1877 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1875--1877 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1877--1879 \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 1879--1880 []\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 1880--1882 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1880--1882 \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 1882--1884 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1882--1884 \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 1884--1886 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1887--1888 []\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 1888--1890 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1888--1890 \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 1892--1894 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1892--1894 \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 1894--1896 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1896--1898 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1896--1898 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1898--1900 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1898--1900 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1903--1905 []\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 1905--1906 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [409]) (./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 (413 pages, 1896061 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: 2020-11-03T18:42:14.690319Z, end-time: 2020-11-03T18:42:14.746788Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/main/sphinx_pdf/feature-labs-inc-evalml.pdf