Read the Docs build information Build id: 422921 Project: feature-labs-inc-evalml Version: main Commit: 35aae78e0f69f512481e1de9a623581b02070722 Date: 2020-09-16T13:49:42.524051Z State: finished Success: True [rtd-command-info] start-time: 2020-09-16T13:49:45.034549Z, end-time: 2020-09-16T13:49:46.635028Z, duration: 1, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:FeatureLabs/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-09-16T13:49:47.291732Z, end-time: 2020-09-16T13:49:47.415692Z, 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 35aae78e Remove CategoricalEncoder base class and get_feature_names function (#1179) [rtd-command-info] start-time: 2020-09-16T13:49:47.643473Z, end-time: 2020-09-16T13:49:47.704036Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-09-16T13:49:49.617492Z, end-time: 2020-09-16T13:49:53.541412Z, duration: 3, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.3' 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: 2020-09-16T13:49:53.774039Z, end-time: 2020-09-16T13:49:54.453155Z, 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 (20.2.3) [rtd-command-info] start-time: 2020-09-16T13:49:54.667217Z, end-time: 2020-09-16T13:50:02.867490Z, duration: 8, exit-code: 0 python -m pip install --upgrade --no-cache-dir Pygments==2.3.1 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<1.1 Collecting Pygments==2.3.1 Downloading Pygments-2.3.1-py2.py3-none-any.whl (849 kB) 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<1.1 Downloading readthedocs_sphinx_ext-1.0.4-py2.py3-none-any.whl (28 kB) Collecting future Downloading future-0.18.2.tar.gz (829 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting pytz>=2015.7 Downloading pytz-2020.1-py2.py3-none-any.whl (510 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.10-py2.py3-none-any.whl (127 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 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=61a2d2b8d2cc39d19e72fcf715c42413328a4ffb1e24e99fff414a042c9b7783 Stored in directory: /tmp/pip-ephem-wheel-cache-fwwb50u3/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=4193721e6efac477a2b1eb0674bc629228966aa2daaa3122ad25588c24ed653a Stored in directory: /tmp/pip-ephem-wheel-cache-fwwb50u3/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: Pygments, setuptools, docutils, mock, pillow, alabaster, future, commonmark, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, snowballstemmer, imagesize, six, MarkupSafe, Jinja2, pyparsing, packaging, pytz, babel, urllib3, certifi, idna, chardet, requests, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.0 Uninstalling setuptools-50.3.0: Successfully uninstalled setuptools-50.3.0 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.3.1 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-2020.1 readthedocs-sphinx-ext-1.0.4 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 urllib3-1.25.10 [rtd-command-info] start-time: 2020-09-16T13:50:03.074987Z, end-time: 2020-09-16T13:50:59.738084Z, duration: 56, 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-1.19.2-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) Collecting pandas>=0.25.0 Downloading pandas-1.1.2-cp37-cp37m-manylinux1_x86_64.whl (10.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.2-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn!=0.22,<0.23.0,>=0.21.3 Downloading scikit_learn-0.22.2.post1-cp37-cp37m-manylinux1_x86_64.whl (7.1 MB) Collecting scikit-optimize<=0.7.4,>=0.7 Downloading scikit_optimize-0.7.4-py2.py3-none-any.whl (80 kB) Collecting tqdm>=4.33.0 Downloading tqdm-4.49.0-py2.py3-none-any.whl (69 kB) Collecting colorama Downloading colorama-0.4.3-py2.py3-none-any.whl (15 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-5.7.2.tar.gz (460 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 plotly>=4.2.1 Downloading plotly-4.10.0-py2.py3-none-any.whl (13.0 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.0-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.1-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) 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==0.13.1) (2020.1) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting joblib>=0.11 Downloading joblib-0.16.0-py3-none-any.whl (300 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting slicer Downloading slicer-0.0.3-py3-none-any.whl (11 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) 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==0.13.1) (1.15.0) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.7-py3-none-any.whl (170 kB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.18.1-py3-none-any.whl (786 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.4-py3-none-any.whl (98 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting graphviz Downloading graphviz-0.14.1-py2.py3-none-any.whl (18 kB) Collecting PyYAML Downloading PyYAML-5.3.1.tar.gz (269 kB) 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-50.3.0-py3-none-any.whl (785 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting pygments Downloading Pygments-2.7.0-py3-none-any.whl (950 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.7-py3-none-any.whl (355 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting tornado>=4.2 Downloading tornado-6.0.4.tar.gz (496 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.4-py3-none-any.whl (9.5 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==0.13.1) (2.4.7) Collecting pillow>=6.2.0 Downloading Pillow-7.2.0-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.13.1) (2020.6.20) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.2.0-cp37-cp37m-manylinux1_x86_64.whl (88 kB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-1.7.0-py2.py3-none-any.whl (31 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting attrs>=17.4.0 Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting pyzmq>=13 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.13.1) (2.11.2) Collecting nbconvert Downloading nbconvert-6.0.2-py3-none-any.whl (504 kB) Collecting terminado>=0.8.3 Downloading terminado-0.8.3-py2.py3-none-any.whl (33 kB) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Collecting zipp>=0.5 Downloading zipp-3.1.0-py3-none-any.whl (4.9 kB) Collecting cffi>=1.0.0 Downloading cffi-1.14.2-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==0.13.1) (1.1.1) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.2.tar.gz (14 kB) Collecting bleach Downloading bleach-3.2.0-py2.py3-none-any.whl (145 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.0-py3-none-any.whl (65 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 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-0.1.1-py2.py3-none-any.whl (4.6 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.13.1) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Collecting nest-asyncio Downloading nest_asyncio-1.4.0-py3-none-any.whl (5.2 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, retrying, PyYAML, tornado, 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-0.13.1-py3-none-any.whl size=5955595 sha256=c7e807910f08e63a244c26ae9cae41d957fb4a22afc3deb770fe2b40533c5c3f Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/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-5.7.2-cp37-cp37m-linux_x86_64.whl size=283656 sha256=1a32e7d3c20d1587b4421cb8270e92c1db58f22b1c5b3c9797ee9a315adb64bc Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/wheels/2d/43/97/00701864a7bee6d9e1a52dd682537dcbf1d013d0e2e6f0c1f1 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=2321798e1fd97913a92afe99daba280b1e40392463d0a6437a75be4b9d76a306 Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/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=461244 sha256=dc9dbe26d71e7a8a9162d558047b7de219050bfe41801ca1edd49c8acf7b03cc Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/wheels/6b/1e/4a/b1d65778aac48b677ac2a758251f9cccb338775e8d174f3696 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=9bebfa8376d975bb4944b271cef45ef0da85a063350db7ab0e1b6ac50b7a80c4 Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/wheels/f9/8d/8d/f6af3f7f9eea3553bc2fe6d53e4b287dad18b06a861ac56ddf 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=ab4649d994d74ba5a27850728d12fac26f956c835b397fd171d7639454aaf43d Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653 Building wheel for tornado (setup.py): started Building wheel for tornado (setup.py): finished with status 'done' Created wheel for tornado: filename=tornado-6.0.4-cp37-cp37m-linux_x86_64.whl size=428550 sha256=a14ac2bd559bb1237b97ed12be3a00c333587de9d23af124b881bdfd7bbaef80 Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/wheels/7d/14/fa/d88fb5da77d813ea0ffca38a2ab2a052874e9e1142bad0b348 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=115306 sha256=6667acc22594c40e990deb593ab864af33c11eb63e6fb18d8842a02558ffcc26 Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/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-1.4.2-py3-none-any.whl size=7855 sha256=ccf25b839e43d410616b522a08467c693c3fbd670d1fbbb85a6f1c94e44c2d9c Stored in directory: /tmp/pip-ephem-wheel-cache-7yky3mqr/wheels/63/99/01/9fe785b86d1e091a6b2a61e06ddb3d8eb1bc9acae5933d4740 Successfully built evalml psutil requirements-parser shap retrying PyYAML tornado pyrsistent pandocfilters Installing collected packages: numpy, python-dateutil, pandas, scipy, joblib, scikit-learn, PyYAML, pyaml, scikit-optimize, tqdm, colorama, cloudpickle, click, psutil, requirements-parser, slicer, llvmlite, setuptools, numba, shap, texttable, retrying, plotly, ipython-genutils, traitlets, jupyter-core, zipp, importlib-metadata, pyrsistent, attrs, jsonschema, nbformat, pickleshare, pygments, backcall, parso, jedi, ptyprocess, pexpect, wcwidth, prompt-toolkit, decorator, ipython, tornado, pyzmq, jupyter-client, ipykernel, pycparser, cffi, argon2-cffi, pandocfilters, webencodings, bleach, testpath, nest-asyncio, async-generator, nbclient, entrypoints, defusedxml, mistune, jupyterlab-pygments, nbconvert, terminado, Send2Trash, prometheus-client, notebook, widgetsnbextension, ipywidgets, xgboost, pillow, kiwisolver, cycler, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pygments Found existing installation: Pygments 2.3.1 Uninstalling Pygments-2.3.1: Successfully uninstalled Pygments-2.3.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed PyYAML-5.3.1 Send2Trash-1.5.0 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.2.0 backcall-0.2.0 bleach-3.2.0 catboost-0.24.1 cffi-1.14.2 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.3 cycler-0.10.0 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 evalml-0.13.1 graphviz-0.14.1 importlib-metadata-1.7.0 ipykernel-5.3.4 ipython-7.18.1 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.16.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.1 kiwisolver-1.2.0 lightgbm-3.0.0 llvmlite-0.34.0 matplotlib-3.3.2 mistune-0.8.4 nbclient-0.5.0 nbconvert-6.0.2 nbformat-5.0.7 nest-asyncio-1.4.0 notebook-6.1.4 numba-0.51.2 numpy-1.19.2 pandas-1.1.2 pandocfilters-1.4.2 parso-0.7.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-7.2.0 plotly-4.10.0 prometheus-client-0.8.0 prompt-toolkit-3.0.7 psutil-5.7.2 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pygments-2.7.0 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-19.0.2 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.22.2.post1 scikit-optimize-0.7.4 scipy-1.5.2 setuptools-50.3.0 shap-0.36.0 slicer-0.0.3 terminado-0.8.3 testpath-0.4.4 texttable-1.6.3 tornado-6.0.4 tqdm-4.49.0 traitlets-5.0.4 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 xgboost-1.2.0 zipp-3.1.0 [rtd-command-info] start-time: 2020-09-16T13:50:59.906944Z, end-time: 2020-09-16T13:51:16.597110Z, duration: 16, 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)) (1.19.2) 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)) (1.1.2) 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)) (1.5.2) Requirement already satisfied: scikit-learn!=0.22,<0.23.0,>=0.21.3 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 4)) (0.22.2.post1) Requirement already satisfied: scikit-optimize<=0.7.4,>=0.7 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)) (0.7.4) Requirement already satisfied: tqdm>=4.33.0 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 6)) (4.49.0) 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 7)) (0.4.3) 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 8)) (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 9)) (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 10)) (5.7.2) 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 11)) (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 12)) (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 13)) (1.6.3) 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)) (4.10.0) 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)) (1.2.0) 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)) (0.24.1) 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) 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: graphviz>=0.13 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)) (0.14.1) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Collecting category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 kB) Collecting featuretools Downloading featuretools-0.19.0-py3-none-any.whl (285 kB) Collecting nlp_primitives>=1.0.0 Downloading nlp_primitives-1.0.0-py3-none-any.whl (23 kB) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.1) 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!=0.22,<0.23.0,>=0.21.3->-r core-requirements.txt (line 4)) (0.16.0) 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<=0.7.4,>=0.7->-r core-requirements.txt (line 5)) (20.4.0) 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 12)) (0.0.3) 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 12)) (0.51.2) 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: 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)) (5.0.7) 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)) (5.0.4) Requirement already satisfied: ipython>=4.0.0; python_version >= "3.3" 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)) (7.18.1) 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: 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 more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.5.0-py3-none-any.whl (44 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 pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) 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)) (50.3.0) Collecting pytest-forked Downloading pytest_forked-1.3.0-py2.py3-none-any.whl (4.7 kB) Collecting execnet>=1.1 Downloading execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting coverage>=4.4 Downloading coverage-5.3-cp37-cp37m-manylinux1_x86_64.whl (229 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) 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 statsmodels>=0.9.0 Downloading statsmodels-0.12.0-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting distributed>=2.12.0 Downloading distributed-2.26.0-py3-none-any.whl (652 kB) Requirement already satisfied: pyyaml>=3.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from featuretools->-r test-requirements.txt (line 8)) (5.3.1) Collecting dask[dataframe]>=2.12.0 Downloading dask-2.26.0-py3-none-any.whl (843 kB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Collecting mccabe<0.7.0,>=0.6.0 Downloading mccabe-0.6.1-py2.py3-none-any.whl (8.6 kB) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Collecting pycodestyle<2.6.0,>=2.5.0 Downloading pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Requirement already satisfied: Pygments>=2.0 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)) (2.7.0) 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: 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) 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) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) 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) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) 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-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: 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)) (1.4.2) 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: 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: 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: 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: 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)) (3.2.0) 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 12)) (0.34.0) 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 nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/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: 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: decorator 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->-r requirements.txt (line 3)) (4.4.2) 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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.7.5) 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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.2) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.0.7) 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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (4.8.0) 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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: tornado>=4.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.0.4) 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)) (7.2.0) 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: 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: 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: 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)) (1.2.0) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (1.7.0) 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: 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: 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)) (1.25.10) 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 toolz>=0.8.2 Downloading toolz-0.10.0.tar.gz (49 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.2-py3-none-any.whl (87 kB) Collecting regex Downloading regex-2020.7.14-cp37-cp37m-manylinux2010_x86_64.whl (660 kB) 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: 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: 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: 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)) (0.8.3) 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: 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: 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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.7.1) 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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (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>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.6.0) 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)) (3.1.0) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Requirement already 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)) (1.14.2) 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, nltk, toolz, locket 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=4b36151fb02174360b83be83297d80561fc246a72b64191677588a69ee47b1c3 Stored in directory: /tmp/pip-ephem-wheel-cache-3oieci0o/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=38b049fc13b39224d9dfea60499e3fca2258d2612e57d92d54503ede76046e19 Stored in directory: /tmp/pip-ephem-wheel-cache-3oieci0o/wheels/cb/ca/0d/db843e5869db016f92974eb145021a3920eec623f3e6adff59 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=bb5feff1d71e161f33472b3dbe396205d52070a1d0e4092c0226fe5d729e75e3 Stored in directory: /tmp/pip-ephem-wheel-cache-3oieci0o/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 Building wheel for toolz (setup.py): started Building wheel for toolz (setup.py): finished with status 'done' Created wheel for toolz: filename=toolz-0.10.0-py3-none-any.whl size=55576 sha256=082829a95237b08c24d1a2b5f7912c01bda08d36dc9b2aa4e144e152ee21f205 Stored in directory: /tmp/pip-ephem-wheel-cache-3oieci0o/wheels/e2/83/7c/248063997a4f9ff6bf145822e620e8c37117a6b4c765584077 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=de2cd01295fbf3779810b5970da367d2527be792622c95202cc19232aefcbf80 Stored in directory: /tmp/pip-ephem-wheel-cache-3oieci0o/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Successfully built codecov autopep8 nltk toolz locket Installing collected packages: py, more-itertools, pluggy, atomicwrites, pytest, pytest-forked, apipkg, execnet, pytest-xdist, coverage, pytest-cov, nbval, codecov, patsy, statsmodels, category-encoders, msgpack, locket, toolz, partd, fsspec, dask, heapdict, zict, tblib, sortedcontainers, distributed, featuretools, regex, nltk, nlp-primitives, mccabe, pyflakes, pycodestyle, flake8, autopep8, isort, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-applehelp, sphinxcontrib-devhelp, sphinxcontrib-jsmath, 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 6.0.2 Uninstalling nbconvert-6.0.2: Successfully uninstalled nbconvert-6.0.2 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 category-encoders-2.2.2 codecov-2.1.0 coverage-5.3 dask-2.26.0 distributed-2.26.0 execnet-1.7.1 featuretools-0.19.0 flake8-3.7.0 fsspec-0.8.2 heapdict-1.0.1 isort-4.3.4 locket-0.2.0 mccabe-0.6.1 more-itertools-8.5.0 msgpack-1.0.0 nbconvert-5.5.0 nbsphinx-0.4.2 nbval-0.9.3 nlp-primitives-1.0.0 nltk-3.5 partd-1.1.0 patsy-0.5.1 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 regex-2020.7.14 sortedcontainers-2.2.2 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 statsmodels-0.12.0 tblib-1.7.0 toolz-0.10.0 zict-2.0.0 [rtd-command-info] start-time: 2020-09-16T13:51:42.378542Z, end-time: 2020-09-16T13:51:42.451135Z, 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 = '2019, Alteryx, Inc.' author = 'Alteryx Innovation Labs' # 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/Featurelabs/evalml/issues/%s', '#'), 'pr': ('https://github.com/Featurelabs/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="LR", size='"1000, 333"', fontsize=30, labelfontsize=30, ratio='compress', dpi=960) 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 build_finished(app, Exception): subprocess.run(['sed', '-i', '-e', 's/require/require_rtd/g', "{}/_static/js/theme.js".format(app.outdir)]) 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) app.connect('build-finished', build_finished) ########################################################################### # 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': 'FeatureLabs', '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': '35aae78e', } 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: 2020-09-16T13:51:42.839609Z, end-time: 2020-09-16T13:56:12.177564Z, duration: 269, 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 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.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.data_checks.DataChecks.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DefaultDataChecks.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.ProblemTypes.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.print_objective_names_allowed_in_automl.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.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 18 source files that are out of date updating environment: 763 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%] 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.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 1%] 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.LabelLeakageDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 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... [ 6%] 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... [ 9%] 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... [ 10%] 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.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] 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... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] 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... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 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... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] 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.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 16%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.label_distribution reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 17%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.validate reading sources... [ 22%] 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.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.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... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.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... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.R2.score reading sources... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 70%] 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... [ 73%] 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... [ 74%] 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... [ 75%] 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... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 76%] 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... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 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... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 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... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 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... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 92%] 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... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 93%] 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... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 95%] 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... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 96%] 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... [ 97%] 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... [ 98%] 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%] 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.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 1%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 1%] 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.LabelLeakageDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 5%] generated/evalml.objectives.AccuracyBinary writing output... [ 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... [ 6%] 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... [ 9%] 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... [ 10%] 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.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] 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... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] 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... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 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... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] 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.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 16%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.label_distribution writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 17%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 18%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.validate writing output... [ 22%] 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.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 23%] generated/methods/evalml.objectives.AUC.score writing output... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.score writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMicro.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... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs writing output... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.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... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MAE.score writing output... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MaxError.score writing output... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 41%] generated/methods/evalml.objectives.Precision.score writing output... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 43%] generated/methods/evalml.objectives.R2.score writing output... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 44%] generated/methods/evalml.objectives.Recall.score writing output... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 70%] 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... [ 73%] 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... [ 74%] 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... [ 75%] 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... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 76%] 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... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 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... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 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... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 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... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 92%] 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... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 93%] 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... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 95%] 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... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 96%] 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... [ 97%] 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... [ 98%] 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... [ 5%] evalml.data_checks.data_check highlighting module code... [ 6%] evalml.data_checks.data_check_message highlighting module code... [ 7%] evalml.data_checks.data_check_message_type highlighting module code... [ 8%] evalml.data_checks.data_checks highlighting module code... [ 10%] evalml.data_checks.default_data_checks highlighting module code... [ 11%] evalml.data_checks.highly_null_data_check highlighting module code... [ 12%] evalml.data_checks.id_columns_data_check highlighting module code... [ 14%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 15%] evalml.data_checks.label_leakage_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... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.diabetes highlighting module code... [ 21%] evalml.demos.fraud highlighting module code... [ 23%] evalml.demos.wine highlighting module code... [ 24%] evalml.model_family.model_family highlighting module code... [ 25%] evalml.model_family.utils highlighting module code... [ 26%] 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... [ 30%] 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... [ 37%] evalml.objectives.regression_objective highlighting module code... [ 38%] evalml.objectives.standard_metrics highlighting module code... [ 39%] 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... [ 46%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 57%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 64%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 66%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 67%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 69%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 70%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 74%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 78%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 82%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 83%] evalml.pipelines.components.utils highlighting module code... [ 84%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 85%] evalml.pipelines.pipeline_base highlighting module code... [ 87%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 88%] evalml.pipelines.regression_pipeline highlighting module code... [ 89%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 92%] evalml.problem_types.problem_types highlighting module code... [ 93%] evalml.problem_types.utils highlighting module code... [ 94%] 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... [ 25%] images/evalml_horizontal.svg copying images... [ 50%] _build/doctrees-readthedocs/nbsphinx/start_20_0.svg copying images... [ 75%] 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 readthedocs static files... done copying searchtools... 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. sed: can't read /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/html/_static/js/theme.js: No such file or directory [rtd-command-info] start-time: 2020-09-16T13:56:12.845959Z, end-time: 2020-09-16T13:59:24.286382Z, duration: 191, 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: 763 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%] 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.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 1%] 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.LabelLeakageDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 3%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 5%] generated/evalml.objectives.AccuracyBinary reading sources... [ 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... [ 6%] 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... [ 9%] 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... [ 10%] 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.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] 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... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] 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... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 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... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] 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.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 16%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.label_distribution reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 17%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckError.__str__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.validate reading sources... [ 22%] 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.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 23%] generated/methods/evalml.objectives.AUC.score reading sources... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.score reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMicro.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... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 26%] 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... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs reading sources... [ 27%] 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... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.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... [ 33%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 36%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 41%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.R2.score reading sources... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 46%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 70%] 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... [ 73%] 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... [ 74%] 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... [ 75%] 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... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 76%] 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... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 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... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 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... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 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... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 92%] 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... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 93%] 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... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 95%] 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... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 96%] 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... [ 97%] 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... [ 98%] 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 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.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.label_distribution generated/evalml.preprocessing.load_data 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.print_objective_names_allowed_in_automl generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search 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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.problem_types.ProblemTypes generated/evalml.problem_types.handle_problem_types generated/evalml.model_family.ModelFamily generated/evalml.model_family.handle_model_family 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.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.LabelLeakageDataCheck generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ generated/methods/evalml.data_checks.LabelLeakageDataCheck.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.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... [ 25%] images/evalml_horizontal.svg copying images... [ 50%] _build/doctrees/nbsphinx/start_20_0.svg copying images... [ 75%] 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). sed: can't read /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/_build/latex/_static/js/theme.js: No such file or directory [rtd-command-info] start-time: 2020-09-16T13:59:24.699739Z, end-time: 2020-09-16T13:59:24.759330Z, 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: 2020-09-16T13:59:24.870439Z, end-time: 2020-09-16T13:59:33.157342Z, duration: 8, 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 300. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 300. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 5 undefined on input line 328. [5] (/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 420. [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.600 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.600 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] [15] Overfull \vbox (0.68346pt too high) detected at line 1459 [16] [17] [18] [19] [20] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 21 undefined on input line 1867. [21] [22] [23] [24] Chapter 4. [25] [26] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 27 undefined on input line 2423. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 27 undefined on input line 2428. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2468 ...]{{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.2468 ...]{{keyboard_interrupt_demo_updated}.gif} [27] [28] [29] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [30] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [31] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [32] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [33] [34] Underfull \hbox (badness 10000) in paragraph at lines 3004--3005 []\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 , [35] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 36 undefined on input line 3104. [36] Underfull \vbox (badness 10000) detected at line 3205 Overfull \vbox (2.68169pt too high) detected at line 3205 [37] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 38 undefined on input line 3224. [38] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 39 undefined on input line 3333. [39] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 40 undefined on input line 3420. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 40 undefined on input line 3420. [40] [41] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 42 undefined on input line 3505. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 42 undefined on input line 3505. [42] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 43 undefined on input line 3584. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 43 undefined on input line 3587. [43] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 44 undefined on input line 3655. [44] Underfull \hbox (badness 10000) in paragraph at lines 3761--3762 \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 , [45] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 46 undefine d on input line 3774. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 46 undefine d on input line 3812. [46] [47] LaTeX Warning: Hyper reference `api_reference:components' on page 48 undefined on input line 3979. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4020 ...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.4020 ...xdimen]{{user_guide_pipelines_16_0}.svg} [48] [49] [50] [51] [52] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 53 undefine d on input line 4473. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 53 undefined on input line 4538. [53] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 54 undefined on inpu t line 4589. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 54 undefined on input line 4591. Overfull \vbox (5.63934pt too high) detected at line 4695 [54] Underfull \vbox (badness 10000) detected at line 4695 Overfull \vbox (13.68169pt too high) detected at line 4695 [55] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 56 undefined on input line 4720 . [56] Underfull \vbox (badness 10000) detected at line 4785 [57] [58] Underfull \vbox (badness 10000) detected at line 4929 Overfull \vbox (2.68169pt too high) detected at line 4929 [59] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 60 undefine d on input line 4944. [60] Underfull \hbox (badness 10000) in paragraph at lines 4991--4992 \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 [61] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 62 undefine d on input line 5128. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 62 undefined on input line 5128. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 62 undefin ed on input line 5129. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 62 undefine d on input line 5134. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 62 undefined on input line 5134. [62] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 63 undefined on input line 5139. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 63 undefined on input line 5144. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 63 undefine d on input line 5159. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 63 undefin ed on input line 5164. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 63 undefined on input line 5169. [63] [64] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 65 undefined on input line 5200. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 65 undefined on input line 5205. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 65 undefined on input line 5210. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 65 undefined on input line 5215. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 5220. [65] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 66 undefined on input l ine 5331. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.label_distributi on:evalml.preprocessing.label_distribution' on page 66 undefined on input line 5336. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 66 undefined on input line 5341. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 66 undefined on input line 5346. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 66 undefined on input line 5351. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 5356. [66] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 67 undefined on input line 5531. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 5536. [67] Underfull \hbox (badness 10000) in paragraph at lines 5545--5545 []\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 5545--5545 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 5545--5545 \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 5545--5545 \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 5545--5545 \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 5545--5545 \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 , \T1/ptm/m/it/10 op-ti - LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.__ init__:evalml.automl.AutoMLSearch.__init__' on page 68 undefined on input line 5567. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 68 undefined on input line 5572. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 68 undefi ned on input line 5577. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 68 undefined on inp ut line 5582. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 68 undefined on input line 5587. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.pr int_objective_names_allowed_in_automl:evalml.automl.AutoMLSearch.print_objectiv e_names_allowed_in_automl' on page 68 undefined on input line 5592. Overfull \hbox (24.22249pt too wide) in paragraph at lines 5592--5593 []|\T1/pcr/m/sl/10 print_objective_names_allowed_in_automl| LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 68 undefined on input line 5597. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 68 undefined on input line 5602 . Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 5607. Underfull \hbox (badness 10000) in paragraph at lines 5614--5614 []\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_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5614--5614 \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 5614--5614 \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 5614--5614 \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 10000) in paragraph at lines 5614--5614 \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 , [68 <./inheritance-1e18c30afd35d4935cafa45952c93c34ddc1adae.pdf>] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 69 undefined on input line 5619. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 69 undefined on input line 5622. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 69 undefined on input line 5651. Underfull \hbox (badness 7869) in paragraph at lines 5651--5655 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [69] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 70 undefined on input line 5706. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 70 undefined on input line 5770. [70] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 71 undefined on input line 5854. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 5918. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 71 undefined on input line 5944. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 71 unde fined on input line 5949. [71] Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 5954. Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.__init__:evalml.automl.automl_algorithm.AutoMLAlgorithm.__ini t__' on page 72 undefined on input line 5985. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 72 undefined on input line 5990. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 72 undefined on input line 5995. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 6000. [72 <./inheritance-e1dc270797989ccb29935590c5b95c8455ecfc23.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 73 undefined on input line 6045. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 73 undefined on input line 6066. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 6102. Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.__init__:evalml.automl.automl_algorithm.IterativeAlgorithm .__init__' on page 73 undefined on input line 6136. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 73 undefined on input line 6141. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 73 undefined on input line 6146. [73 <./inheritance-cb505c75532111120300ceec2023c4acc3912847.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 6151. Underfull \hbox (badness 10000) in paragraph at lines 6158--6158 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_pi pelines=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 74 undefined on input line 6203. [74] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 75 undefined on input line 6224. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 6260. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 75 undefined on input line 6289. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 75 undefined on input line 6294. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 75 undefined on input line 6299. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 75 unde fined on input line 6304. Underfull \hbox (badness 5908) in paragraph at lines 6306--6308 []|\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 75 undefined on input line 6309. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 6314. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 75 undefined on input line 6345. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 75 undefined on input line 6350. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 75 undefined on input line 6355. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 75 undefined on input line 6360 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 75 undefine d on input line 6365. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 75 undefined on input line 6370. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 75 undefined on input line 6375. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 75 undefined on input line 63 80. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 75 undefined on input l ine 6385. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 75 undefined on input line 63 90. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 75 undefined on input line 6395. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 6400. [75 <./inheritance-c9c02a07e954a88c0bf8ff03dc9a3f8e07c64ef1.pdf>] [76] [77] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 7 8 undefined on input line 6694. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 78 unde fined on input line 6699. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 7 8 undefined on input line 6704. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 78 undefine d on input line 6709. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 78 undefined on input line 6714. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 78 unde fined on input line 6719. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 78 undefined on input line 6724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 78 undefi ned on input line 6729. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 78 undefined on input line 6734. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 78 undefined on input line 6739. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 78 undefi ned on input line 6744. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 78 unde fined on input line 6749. [78 <./inheritance-ef9a78b29272c0d632e0db38e101c4b3d5cfc3e5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 6754. [79] Underfull \hbox (badness 10000) in paragraph at lines 6831--6833 []\T1/ptm/m/n/10 by sorted(set(y)) [80] [81] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 82 undefined on input line 7073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 82 undefined on input line 7078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 82 undefined on input line 7083. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 82 undefined on input line 7088. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 82 undefined on input line 7093. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 82 undefined on input line 7098. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 82 undefined on input line 7103. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 82 undefined on input line 7108. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 82 undefined on input line 7113. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 82 undefined on input line 7118. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 82 undefined on input line 7123. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 82 undefined on input line 7128. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 7133. [82 <./inheritance-30e6f7d2374080246a40d9b962a73732b02075a6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7210--7212 []\T1/ptm/m/n/10 by sorted(set(y)) [83] Overfull \hbox (6.95404pt too wide) in paragraph at lines 7281--7281 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [84] Underfull \hbox (badness 10000) in paragraph at lines 7430--7430 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 85 undefined on input line 7452. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 85 undefined on input line 7457. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 85 undefined on input line 7462. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 85 undefined on input line 7467. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 85 undefined on input line 7472. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 85 undefined on input line 7477. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 85 undefined on input line 7 482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 85 undefined on input line 7487. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 85 undefined on input line 7492. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 85 undefined on input line 7497. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 85 undefined on input line 7502. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 85 undefined on input line 7507. Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 7512. [85 <./inheritance-43bdbc8f20a7302bb014aac4cd9f7913a31ceaef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7589--7591 []\T1/ptm/m/n/10 by sorted(set(y)) [86] Overfull \hbox (30.95404pt too wide) in paragraph at lines 7660--7660 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [87] [88] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 89 undefi ned on input line 7831. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 89 undefined on input line 7836. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 89 undefi ned on input line 7841. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 89 undefined on inp ut line 7846. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 89 undefined on input line 7851. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 89 undefined on input line 7856. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 89 undefined on input line 7861. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 89 undefined on i nput line 7866. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 89 undefine d on input line 7871. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 89 undefined on i nput line 7876. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 89 undefined on input line 7881. Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 7886. [89 <./inheritance-c0afc274f6b70cb750e33621ea7a9102f9c27348.pdf>] [90] [91] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 92 undefined on input line 8172. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 92 undefined on inp ut line 8177. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 92 undefined on inp ut line 8182. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 92 undefine d on input line 8187. Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 8192. ! Dimension too large. \wd \@tempboxa l.8197 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} ! Dimension too large. b l.8197 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 8297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 9 2 undefined on input line 8318. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 92 unde fined on input line 8323. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 9 2 undefined on input line 8328. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 92 undefine d on input line 8333. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 92 undefined on input line 8338. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 92 unde fined on input line 8343. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 92 undefined on input line 8348. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 92 undefi ned on input line 8353. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 92 undefined on input line 8358. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 92 undefined on input line 8363. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 92 undefi ned on input line 8368. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 92 unde fined on input line 8373. Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 8378. [92 <./inheritance-6f3b2275fdce57243ef2e5bab0c3aef495856f0b.pdf>] [93] Underfull \hbox (badness 10000) in paragraph at lines 8455--8457 []\T1/ptm/m/n/10 by sorted(set(y)) [94] ! Dimension too large. \wd \@tempboxa l.8671 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} ! Dimension too large. b l.8671 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} [95] Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 8766. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 96 undefined on input line 8787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 96 undefined on input line 8792. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 96 undefined on input line 8797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 96 undefined on input line 8802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 96 undefined on input line 8807. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 96 undefined on input line 8812. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 96 undefined on input line 8817. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 9 6 undefined on input line 8822. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 96 undefined on input line 8827. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 96 undefined on input line 8832. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 9 6 undefined on input line 8837. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 96 undefined on input line 8842. Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 8847. [96 <./inheritance-6fdb41a1217c671bfe68e7ab05ac74d9662f94fd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8924--8926 []\T1/ptm/m/n/10 by sorted(set(y)) [97] [98] ! Dimension too large. \wd \@tempboxa l.9140 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} ! Dimension too large. b l.9140 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} [99 <./inheritance-cf06fd64f927f0866bf4f5463e7cf87f21ecce82.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 9240. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 100 undefined on input line 9261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 100 undefined on input line 9266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 100 undefined on input line 9271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 100 undefined on input line 9276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 100 undefined on input line 9281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 100 undefined on input line 9286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 100 undefined on input line 9291. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 00 undefined on input line 9296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 100 undefined on input line 9301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 100 undefined on input line 9306. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 00 undefined on input line 9311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 100 undefined on input line 9316. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 9321. [100] Underfull \hbox (badness 10000) in paragraph at lines 9398--9400 []\T1/ptm/m/n/10 by sorted(set(y)) [101] [102] ! Dimension too large. \wd \@tempboxa l.9614 ...9fd8f83c30ffb7f39b742afd3323fbc8774.pdf} ! Dimension too large. b l.9614 ...9fd8f83c30ffb7f39b742afd3323fbc8774.pdf} Underfull \hbox (badness 10000) in paragraph at lines 9618--9618 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [103 <./inheritance-c83ce9fd8f83c30ffb7f39b742afd3323fbc8774.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 9709. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 104 undefined on input line 9730. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 104 undefined on input line 9735. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 104 undefined on input line 9740. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 104 undefined on input line 9745. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 104 undefined on input line 9750. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 104 undefined on input line 9755. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 104 undefined on input line 9760 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 104 undefined on input line 9765. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 104 undefined on input line 9770. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 104 undefined on input line 9775. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 104 undefined on input line 9780. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 104 undefined on input line 9785. Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 9790. [104] Underfull \hbox (badness 10000) in paragraph at lines 9867--9869 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 9938--9938 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [105] [106] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 107 undefined on in put line 10101. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 107 undefin ed on input line 10106. Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 10111. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 10206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 107 undefined on input line 10227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 107 undefined on input line 10232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 107 undefined on input line 10237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 107 undefined on input line 10242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 107 undefined on input line 10247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 107 undefined on input line 10252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 107 undefined on input line 10257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 07 undefined on input line 10262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 107 undefined on input line 10267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 07 undefined on input line 10272. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 107 undefined on input line 10277. [107 <./inheritance-626b364d1301d7fd46578c124286b3dd895b2423.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 10282. [108] [109] [110] Underfull \hbox (badness 10000) in paragraph at lines 10554--10554 []\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 29 on input line 10640. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 111 undefined on input line 10661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 111 undefined on input line 10666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 111 undefined on input line 10671. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 111 undefined on input line 10676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 111 undefined on input line 10681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 111 undefined on input line 10686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 111 undefined on input line 1069 1. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 111 undefined on input line 10696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 111 undefined on input line 10701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 111 undefined on input line 10706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 111 undefined on input line 10711. Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 10716. [111 <./inheritance-85c49b58be816edfd1f3e23fbf93004a41b913d1.pdf>] [112] Overfull \hbox (18.95404pt too wide) in paragraph at lines 10861--10861 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [113] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 114 undefined on input line 11002 . Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 11007. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 114 undefined on input line 110 29. [114] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 115 undefined on input line 11067. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 115 undefined on input line 11072. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 115 undefined on input line 110 77. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 11082. Underfull \hbox (badness 10000) in paragraph at lines 11091--11091 []\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 11091--11091 \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 115 undefined on input line 11113. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 115 undefined on input line 11118. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 115 undefined on input line 11123. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 115 und efined on input line 11128. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 115 u ndefined on input line 11133. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 115 u ndefined on input line 11138. Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 11143. Underfull \hbox (badness 10000) in paragraph at lines 11150--11150 []\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 , [115 <./inheritance-f487f7257db490cd12fcb79f102190e3106f95d4.pdf>] [116] Underfull \hbox (badness 10000) in paragraph at lines 11282--11282 []\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 11282--11282 \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 17 undefined on input line 11313. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 117 und efined on input line 11318. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 17 undefined on input line 11323. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 117 undefin ed on input line 11328. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 117 undefined on input line 11333. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 117 undef ined on input line 11338. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 117 undef ined on input line 11343. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 117 undefined on input line 11348. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 11353. [117 <./inheritance-021f4dd9c4df0c6d79e2670d0604cf002005c056.pdf>] [118] Underfull \hbox (badness 10000) in paragraph at lines 11548--11548 []\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 119 u ndefined on input line 11578. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 119 undefin ed on input line 11583. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 119 u ndefined on input line 11588. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 119 undefined o n input line 11593. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 119 undefined on input line 11598. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 119 und efined on input line 11603. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 119 undefined on input line 11608. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 119 undefined on input line 11613. Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 11618. [119 <./inheritance-36c72da075e84c783f4071052fc8408a1ab6f3de.pdf>] [120] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 121 undefined on input line 11815. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 121 undef ined on input line 11820. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 11825. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 121 undefined on input line 11836. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 121 undefined on input line 11842. [121] Underfull \hbox (badness 10000) in paragraph at lines 11854--11854 []\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 122 undefined on input line 11861. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 122 undefined on input line 11864. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 122 undefined on input line 11902. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 122 undefined on input line 11907. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 122 undefined on input line 11912. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 122 undefined on input line 11917. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 122 undefined on input line 11922. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 122 undefined on input line 11927. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 122 undefined on inpu t line 11932. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 122 undefined on input line 11937. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 122 undefined on input line 11942. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 122 undefined on in put line 11947. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 122 undefined on input line 11952. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 122 undefined on inpu t line 11957. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 11962. ! Dimension too large. \wd \@tempboxa l.11967 ...b9596c3adb25418e9bc3aca3f493649286.pdf} ! Dimension too large. b l.11967 ...b9596c3adb25418e9bc3aca3f493649286.pdf} Underfull \hbox (badness 10000) in paragraph at lines 11971--11971 []\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 , [122 <./inheritance-fca7a4b9596c3adb25418e9bc3aca3f493649286.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 12027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 23 undefined on input line 12048. Underfull \hbox (badness 7576) in paragraph at lines 12050--12052 []|\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 123 und efined on input line 12053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 23 undefined on input line 12058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 123 undefin ed on input line 12063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 123 undefined on input line 12068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 123 undef ined on input line 12073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 123 undef ined on input line 12078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 123 undefined on input line 12083. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 12088. [123] [124] ! Dimension too large. \wd \@tempboxa l.12284 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} ! Dimension too large. b l.12284 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12288--12288 []\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 40 on input line 12344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 125 undefined on input line 12365. Underfull \hbox (badness 7576) in paragraph at lines 12367--12369 []|\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 125 undefined on input line 12370. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 125 undefined on input line 12375. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 125 und efined on input line 12380. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 125 undefined on input line 12385. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 125 u ndefined on input line 12390. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 125 u ndefined on input line 12395. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 125 undefined on input line 12400. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 12405. [125 <./inheritance-54e057ebf33d8169cae4eb13364dd9d150ffc09c.pdf>] [126] ! Dimension too large. \wd \@tempboxa l.12601 ...68f43483a177df3d97f31bf9b996977758.pdf} ! Dimension too large. b l.12601 ...68f43483a177df3d97f31bf9b996977758.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 \T1/ptm/m/it/10 drop=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 \T1/ptm/m/it/10 dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [127 <./inheritance-e57eeb68f43483a177df3d97f31bf9b996977758.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 12661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 128 undefined on input line 12682. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 128 undefined on input line 12687. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 128 undefined on input line 12692. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 128 und efined on input line 12697. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 128 undefined on input line 12702. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 128 u ndefined on input line 12707. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 128 u ndefined on input line 12712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 128 undefined on input line 12717. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 12722. [128] [129] ! Dimension too large. \wd \@tempboxa l.12938 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} ! Dimension too large. b l.12938 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12942--12942 []\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 12942--12942 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [130 <./inheritance-8338936377eb6c52dd1e302cda06dee3a30d7f4b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 12998. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 131 undefined on input line 13019. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 131 undefined on input line 13024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 131 undefined on input line 13029. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 31 undefined on input line 13034. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 131 undefined on input line 13039. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 131 undefined on input line 13044. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 131 undefined on input line 13049. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 131 undefined on input line 13054. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 13059. Overfull \hbox (5.61217pt too wide) in paragraph at lines 13066--13066 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 13071--13075 []\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, [131] [132] ! Dimension too large. \wd \@tempboxa l.13270 ...62412556152e04415250ae9ebeeb97ab71.pdf} ! Dimension too large. b l.13270 ...62412556152e04415250ae9ebeeb97ab71.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13274--13274 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13274--13274 \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 13274--13274 \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 13274--13274 \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 46 on input line 13330. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 133 undef ined on input line 13351. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 133 undefined o n input line 13356. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 133 undef ined on input line 13361. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 133 undefined on in put line 13366. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 133 undefined on input line 13371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 133 undefined on input line 13376. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 133 undefined on input line 13381. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 133 und efined on input line 13386. [133 <./inheritance-1bd84e62412556152e04415250ae9ebeeb97ab71.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 13391. Underfull \hbox (badness 10000) in paragraph at lines 13398--13398 []\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 , [134] [135] Overfull \hbox (62.0307pt too wide) in paragraph at lines 13574--13576 [] ! Dimension too large. \wd \@tempboxa l.13605 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} ! Dimension too large. b l.13605 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13609--13609 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13609--13609 \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 48 on input line 13665. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 136 undefined on input line 13686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 136 undefined on input line 13691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 136 undefined on input line 13696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 136 und efined on input line 13701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 136 undefined on input line 13706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 136 u ndefined on input line 13711. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 136 u ndefined on input line 13716. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 136 undefined on input line 13721. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 13726. [136 <./inheritance-e4eeacd70f8e119fe715c7a7b33e3a4875175a57.pdf>] [137] Overfull \hbox (62.0307pt too wide) in paragraph at lines 13900--13902 [] [138] ! Dimension too large. \wd \@tempboxa l.13931 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} ! Dimension too large. b l.13931 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 13991. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 139 undefined on input line 14012. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 39 undefined on input line 14017. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 139 undefined on input line 14022. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 139 u ndefined on input line 14027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 139 undefined on input line 14032. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 139 undefined on input line 14037. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 139 undefined on input line 14042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 139 undefined on input line 14047. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 14052. [139 <./inheritance-783f43e35a00a3a1072d51a3e2bb993e953ab96d.pdf>] [140] ! Dimension too large. \wd \@tempboxa l.14243 ...09315650d1a7865965715098101afdb8a5.pdf} ! Dimension too large. b l.14243 ...09315650d1a7865965715098101afdb8a5.pdf} Overfull \hbox (19.00412pt too wide) in paragraph at lines 14247--14247 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \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 14247--14247 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [141 <./inheritance-e6d10a09315650d1a7865965715098101afdb8a5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 14303. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 142 undefined on input line 14324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 142 undefined on input line 14329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 142 undefined on input line 14334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 142 undefined on input line 14339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 142 undefined on input line 14344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 142 undefined on input line 14349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 142 undefined on input line 14354. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 142 undefined on input line 14359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 142 undefined on input line 14364. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 14369. Underfull \hbox (badness 10000) in paragraph at lines 14376--14376 []\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 14376--14376 \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 14376--14376 \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 , [142] [143] ! Dimension too large. \wd \@tempboxa l.14576 ...82bfc926d25216b2a75c4269183a5093c6.pdf} ! Dimension too large. b l.14576 ...82bfc926d25216b2a75c4269183a5093c6.pdf} Overfull \hbox (25.00412pt too wide) in paragraph at lines 14580--14580 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \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 14580--14580 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 14636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 144 undefined on input line 14657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 144 undefined on input line 14662. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 144 undefined on input line 14667. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 144 undefined on input line 14672. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 144 undefined on input line 14677. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 144 undefined on input line 14682. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 144 undefined on input line 14687. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 144 undefined on input line 14692. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 144 undefined on input line 14697. Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 14702. [144 <./inheritance-f768dc82bfc926d25216b2a75c4269183a5093c6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14709--14709 []\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 14709--14709 \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 14709--14709 \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 , [145] [146] ! Dimension too large. \wd \@tempboxa l.14909 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} ! Dimension too large. b l.14909 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14913--14913 []\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 56 on input line 14969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 147 undefined on input line 14990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 147 undefined on input line 14995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 147 undefined on input line 15000. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 147 undefined on input line 15005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 147 undefined on input line 15010. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 1 47 undefined on input line 15015. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 1 47 undefined on input line 15020. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 147 undefined on input line 15025. Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 15030. [147 <./inheritance-86ffa1890ef3eb1c7d1898d642a71b7d626981ee.pdf>] [148] ! Dimension too large. \wd \@tempboxa l.15223 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} ! Dimension too large. b l.15223 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 15283. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 149 undefined on input line 15304. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 149 undefined on input line 15309. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 149 undefined on input line 15314. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 149 undefined on input line 15319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 149 undefined on input line 15324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 149 undefined on input line 15329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 149 undefined on input line 15334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 149 undefined on input line 15339. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 15344. [149 <./inheritance-c389f1735004539501381a1bdf4abbf7e4d62ab8.pdf>] [150] [151] ! Dimension too large. \wd \@tempboxa l.15546 ...e37cbdb7720f90b05a56545668be85270a.pdf} ! Dimension too large. b l.15546 ...e37cbdb7720f90b05a56545668be85270a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 15550--15550 []\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 60 on input line 15606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 152 undefined on input line 15627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 1 52 undefined on input line 15632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 152 undefined on input line 15637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 152 u ndefined on input line 15642. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 152 undefined on input line 15647. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 152 undefined on input line 15652. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 152 undefined on input line 15657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 152 undefined on input line 15662. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 15667. [152 <./inheritance-c617d4e37cbdb7720f90b05a56545668be85270a.pdf>] [153] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 154 undefined on input line 15892. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 154 undef ined on input line 15897. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 154 undef ined on input line 15902. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 154 u ndefined on input line 15907. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 154 undefined on input line 15912. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 154 undefined on input line 15917. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 154 undefined o n input line 15922. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 154 undefined on input line 15927. Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 15932. ! Dimension too large. \wd \@tempboxa l.15937 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} ! Dimension too large. b l.15937 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} [154] Underfull \hbox (badness 10000) in paragraph at lines 15941--15941 []\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 15941--15941 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 16021. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 155 undefined on input line 16042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 155 undefined on input line 16047. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 155 undefined on input line 16052. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 155 undefined on input line 16057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 155 undefined on input line 16062. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 155 undefined on input line 16067. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 155 undefined on input line 16072. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 155 undefined on input line 16077. Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 16082. Underfull \hbox (badness 10000) in paragraph at lines 16089--16089 []\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- [155 <./inheritance-44d810727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf>] [156] ! Dimension too large. \wd \@tempboxa l.16261 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} ! Dimension too large. b l.16261 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16265--16265 []\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 16265--16265 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16265--16265 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 16332. [157 <./inheritance-f7deef258c28bc95d279b46640f5e38f28e48ba7.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 158 undefined on input line 16353. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 158 undefined on input line 16358. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 158 undefined on input line 16363. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 158 undefined on input line 16368. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 158 undefined on input line 16373. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 158 undefined on input line 16378. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 158 undefined on input line 16383. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 158 undefined on input line 16388. Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 16393. [158] ! Dimension too large. \wd \@tempboxa l.16572 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} ! Dimension too large. b l.16572 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} [159] Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \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 67 on input line 16643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 160 undefined on input line 16664. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 160 undefined on input line 16669. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 160 undefined on input line 16674. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 160 undefined on input line 16679. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 160 undefined on input line 16684. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 160 undefined on input line 16689. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 160 undefined on input line 16694. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 160 undefined on input line 16699. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 16704. Underfull \hbox (badness 10000) in paragraph at lines 16711--16711 []\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 16711--16711 \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 , [160 <./inheritance-12cb2cf06b5c4e0fc80056aefe0421510f1594e4.pdf>] [161] ! Dimension too large. \wd \@tempboxa l.16883 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} ! Dimension too large. b l.16883 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16887--16887 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16887--16887 \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 69 on input line 16954. [162 <./inheritance-10b1e18b471febf9f8fe93e1193db25ea8da169e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 163 undefined on input line 16975. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 163 undefined on input line 16980. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 163 undefined on input line 16985. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 163 undefined on input line 16990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 163 undefined on input line 16995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 163 undefined on input line 17000. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 163 undefined on input line 17005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 163 undefined on input line 17010. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 17015. Underfull \hbox (badness 10000) in paragraph at lines 17022--17022 []\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- [163] ! Dimension too large. \wd \@tempboxa l.17194 ...9828e64e8cfabce656c3e60374e0038c72.pdf} ! Dimension too large. b l.17194 ...9828e64e8cfabce656c3e60374e0038c72.pdf} [164] Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \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 , Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 17275. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 165 undefined on input line 17296. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 165 undefined on input line 17301. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 165 undefined on input line 17306. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 165 undefined on input line 17311. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 165 undefined on input line 17316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 165 undefined on input line 17321. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 165 undefined on input line 17326. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 165 undefined on input line 17331. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 17336. Underfull \hbox (badness 10000) in paragraph at lines 17343--17343 \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 , [165 <./inheritance-1fb17c9828e64e8cfabce656c3e60374e0038c72.pdf>] [166] ! Dimension too large. \wd \@tempboxa l.17515 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} ! Dimension too large. b l.17515 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [167 <./inheritance-972c69d940b389fa3396e584ff3afe7fb20275cc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 17586. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 168 undefined on input line 17607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 168 undefined on input line 17612. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 168 undefined on input line 17617. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 168 undefined on input line 17622. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 168 undefined on input line 17627. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 168 undefined on input line 17632. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 168 undefined on input line 17637. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 168 undefined on input line 17642. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 17647. Underfull \hbox (badness 10000) in paragraph at lines 17654--17654 []\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 , \T1/ptm/m/it/10 ran- [168] ! Dimension too large. \wd \@tempboxa l.17826 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} ! Dimension too large. b l.17826 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} [169] Underfull \hbox (badness 10000) in paragraph at lines 17830--17830 []\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 17830--17830 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17830--17830 \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 75 on input line 17907. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 170 undefined on input line 17928. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 170 undefined on input line 17933. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 170 undefined on input line 17938. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 170 undefined on input line 17943. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 170 undefined on input line 17948. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 170 undefined on input line 17953. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 170 undefined on input line 17958. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 170 undefined on input line 17963. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 17968. [170 <./inheritance-9b1c24ca1b95dd3da5ed129a3639fba2a8273408.pdf>] [171] ! Dimension too large. \wd \@tempboxa l.18147 ...50b69abde46857ee001e566cf1650d5c78.pdf} ! Dimension too large. b l.18147 ...50b69abde46857ee001e566cf1650d5c78.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18151--18151 []\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 77 on input line 18225. [172 <./inheritance-7ba48e50b69abde46857ee001e566cf1650d5c78.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 173 undefined on input line 18246. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 173 undefined on input line 18251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 173 undefined on input line 18256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 173 undefined on input line 18261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 173 undefined on input line 18266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 173 undefined on input line 18271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 173 undefined on input line 18276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 173 undefined on input line 18281. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 18286. [173] [174] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 175 undefined o n input line 18496. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 175 undefin ed on input line 18501. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 175 undefined on in put line 18506. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 175 undefin ed on input line 18511. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 175 und efined on input line 18516. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 175 undefined on input line 18521. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 175 undefined o n input line 18526. Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 18531. ! Dimension too large. \wd \@tempboxa l.18536 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} ! Dimension too large. b l.18536 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18540--18540 []\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 18540--18540 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 18620. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 175 undefined on input line 18641. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 175 undefined on input line 18646. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 175 undefined on input line 18651. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 175 undefined on input line 18656. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 175 undefined on input line 18661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 175 undefined on input line 18666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 175 undefined on input line 18671. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 175 undefined on input line 18676. [175 <./inheritance-5cd67408660c74aa6bd8dd594916bcfb93426e43.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 18681. Underfull \hbox (badness 10000) in paragraph at lines 18688--18688 []\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- [176] ! Dimension too large. \wd \@tempboxa l.18860 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} ! Dimension too large. b l.18860 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18864--18864 []\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 18864--18864 \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 18864--18864 \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 , [177 <./inheritance-1aabcff00496e1680b24dc93e964049a0dfe6e8d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 18931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 178 undefined on input line 18952. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 178 undefined on input line 18957. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 178 undefined on input line 18962. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 178 undefined on input line 18967. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 178 undefined on input line 18972. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 178 undefined on input line 18977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 178 undefined on input line 18982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 178 undefined on input line 18987. Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 18992. [178] [179] ! Dimension too large. \wd \@tempboxa l.19171 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} ! Dimension too large. b l.19171 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19175--19175 []\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 19175--19175 \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 84 on input line 19242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 180 undefined on input line 19263. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 180 undefined on input line 19268. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 180 undefined on input line 19273. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 180 undefined on input line 19278. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 1 80 undefined on input line 19283. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 180 undefined on input line 19288. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 180 undefined on input line 19293. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 1 80 undefined on input line 19298. Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 19303. [180 <./inheritance-e4c37b6ec41e33e162c6c28509eead7a0fd2e98b.pdf>] [181] ! Dimension too large. \wd \@tempboxa l.19482 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} ! Dimension too large. b l.19482 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [182 <./inheritance-5a38f53ef6334e9c7361cd61656ed9b25064f89d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 19553. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 183 undefined on input line 19574. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 183 undefined on input line 19579. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 183 undefined on input line 19584. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 183 undefined on input line 19589. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 183 undefined on input line 19594. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 183 undefined on input line 19599. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 183 undefined on input line 19604. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 183 undefined on input line 19609. Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 19614. Underfull \hbox (badness 10000) in paragraph at lines 19621--19621 []\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 19621--19621 \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 , [183] [184] ! Dimension too large. \wd \@tempboxa l.19793 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} ! Dimension too large. b l.19793 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19797--19797 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19797--19797 \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 19797--19797 \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 88 on input line 19864. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 185 undefined on input line 19885. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 185 undefined on input line 19890. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 185 undefined on input line 19895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 185 undefined on input line 19900. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 185 undefined on input line 19905. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 185 undefined on input line 19910. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 185 undefined on input line 19915. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 185 undefined on input line 19920. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 19925. [185 <./inheritance-6ecb00b018fc4e79dbf57f4caf352e6e0b613797.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19932--19932 []\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- [186] ! Dimension too large. \wd \@tempboxa l.20104 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} ! Dimension too large. b l.20104 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20108--20108 []\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 20108--20108 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20108--20108 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [187 <./inheritance-b6206847048c1dff2af5d8a008dc2e0a60d99099.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 20185. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 188 undefined on input line 20206. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 188 undefined on input line 20211. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 188 undefined on input line 20216. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 1 88 undefined on input line 20221. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 188 undefined on input line 20226. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 188 undefined on input line 20231. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 188 undefined on input line 20236. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 188 undefined on input line 20241. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 20246. [188] [189] ! Dimension too large. \wd \@tempboxa l.20425 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} ! Dimension too large. b l.20425 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20429--20429 []\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 92 on input line 20498. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 190 undefined on input line 20519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 190 undefined on input line 20524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 190 undefined on input line 20529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 190 undefined on input line 20534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 190 undefined on input line 20539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 190 undefined on input line 20544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 190 undefined on input line 20549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 190 undefined on input line 20554. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 20559. [190 <./inheritance-f58b8113ced0e7ec590912a80d708cdd64c63af7.pdf>] [191] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 192 undefined on in put line 20770. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 192 undefined on input line 20775. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 192 und efined on input line 20780. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 192 undefined on input line 20785. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 192 undefined on input line 20790 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 192 undefined on inpu t line 20795. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 192 und efined on input line 20800. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 192 undefined on input line 20805. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 192 undefined on input line 20810. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 192 undefined on input line 20815. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 192 undefined on input line 20820. Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 20825. [192] Underfull \hbox (badness 10000) in paragraph at lines 20832--20832 []\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- Underfull \hbox (badness 10000) in paragraph at lines 20863--20863 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [193] [194] Underfull \hbox (badness 10000) in paragraph at lines 21008--21008 []\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 21008--21008 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 21039--21039 []\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 21039--21039 \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 21072--21072 \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 21072--21072 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [195] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 196 undefined on input line 21077. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 196 undefined on input line 21086. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 196 undefined on input line 21118. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 196 undefined on input line 21127. [196] Underfull \hbox (badness 10000) in paragraph at lines 21187--21187 []\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 21187--21187 \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 197 undefined on input line 21192. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 197 undefined on input line 21237. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 197 undefined on input line 21242. 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 197 undefined on input line 21247. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 21252. Overfull \hbox (9.96457pt too wide) in paragraph at lines 21259--21259 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [197] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 198 undefined on input line 21266. Overfull \hbox (15.96457pt too wide) in paragraph at lines 21300--21300 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 21300--21300 \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 198 undefined on input line 21307. [198] Overfull \hbox (94.49048pt too wide) in paragraph at lines 21330--21332 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 21346--21346 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 21346--21346 \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 199 undefined on input line 21353. [199] Overfull \hbox (102.73972pt too wide) in paragraph at lines 21384--21387 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 200 undefined on input line 21420. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 200 undefin ed on input line 21425. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 200 undefined on input line 21430. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 200 undefined on input line 214 35. Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 21440. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 200 undefined on input line 21471. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 200 undefined on input line 21476. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 200 undefined on input line 21481. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 200 undefined on input line 21486. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 21491. [200 <./inheritance-07c1605e071dab6b69f3ce4747d98a87707cfa44.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 21513--21515 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 21533--21533 [] Underfull \hbox (badness 10000) in paragraph at lines 21533--21533 [201] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 202 undefined on input l ine 21639. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 202 undefined on input line 21644. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 202 undefined on input line 21649. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 202 undefined on input line 21654. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 202 undefined on input line 21659. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 202 undefined on input line 21664. Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 21669. Overfull \hbox (27.03467pt too wide) in paragraph at lines 21676--21676 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 21676--21676 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 21676--21676 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 21691--21693 [] Underfull \hbox (badness 10000) in paragraph at lines 21710--21710 []\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 , [202 <./inheritance-9ed9e93988ef52b829df5d142118754a9b323b5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21738--21738 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21738--21738 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 21739--21739 [] Underfull \hbox (badness 10000) in paragraph at lines 21739--21739 [203] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 204 undefined on input line 21872. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 204 undefined on input line 21877. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 204 undefined on input line 21882. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 204 undefined on input line 21887. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 21892. Overfull \hbox (51.03467pt too wide) in paragraph at lines 21899--21899 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 21899--21899 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 21899--21899 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [204 <./inheritance-af479a5adeca365503c354ee58bd45a89f5cb882.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 21914--21916 [] Underfull \hbox (badness 10000) in paragraph at lines 21933--21933 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 21933--21933 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 21933--21933 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 21934--21934 [] Underfull \hbox (badness 10000) in paragraph at lines 21934--21934 [205] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 206 undefined on input line 22039. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 206 undefined on input line 22044. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 206 undefin ed on input line 22049. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 206 undefined on input line 22054. Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 22059. Underfull \hbox (badness 10000) in paragraph at lines 22066--22066 []\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 22081--22083 [] Underfull \hbox (badness 10000) in paragraph at lines 22100--22100 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 22101--22101 [] Underfull \hbox (badness 10000) in paragraph at lines 22101--22101 [206 <./inheritance-d1aea97fb46dc2e14443a25bf91b1064eb23dd02.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 207 undefined on input line 22196. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 207 undefined on input line 22201. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 207 undefined on input line 22206. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 22211. Underfull \hbox (badness 10000) in paragraph at lines 22220--22220 []\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 207 undefined on input li ne 22242. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 207 undefined on input line 22247. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 207 und efined on input line 22252. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 207 u ndefined on input line 22257. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 207 u ndefined on input line 22262. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 207 undefined on input line 222 67. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 207 undefin ed on input line 22272. [207 <./inheritance-37ae68f2217773e86042770dfe4589b0b1feef6f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 22277. Overfull \hbox (10.35059pt too wide) in paragraph at lines 22330--22332 [] [208] [209] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 210 undefined on inpu t line 22517. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 210 undefined on input line 22522. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 210 undefined on input line 22527. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 10 undefined on input line 22532. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 10 undefined on input line 22537. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 210 undefined on input line 22542. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 210 und efined on input line 22547. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 22552. [210 <./inheritance-acafd40fec2fed6a4b735783d2ee7f4ac9c19b9c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22596--22598 [] [211] Underfull \hbox (badness 10000) in paragraph at lines 22760--22760 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.__init__:evalml.objectives.CostBenefitMatrix.__init__' on page 212 undef ined on input line 22784. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 212 undefined on input line 22789. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 212 undefined on input line 22794. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 212 undefined on input line 22799. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 212 undefined on input line 22804. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 212 undefined o n input line 22809. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 212 undefined on input line 22814. [212 <./inheritance-983079748ef7532b70b5ba7a08be9e750a99ee85.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 22819. Underfull \hbox (badness 10000) in paragraph at lines 22854--22854 []\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 22869--22871 [] [213] [214] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 215 undefined on input line 23047. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 215 undefined on input line 23052 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 215 undefined on input line 23057. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 215 undefined on input line 23062. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 215 undefined on input line 23067. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 215 undefined on input line 23072. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 215 undefined on input li ne 23077. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 215 undefined on input line 23082. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 215 undefined on input line 23087. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 215 undefined on input line 23092. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 215 undefined on input line 23097. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 215 undefined on input line 23102. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 215 undefined on input line 23107. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 215 undefined on input line 23112. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 215 undefined on input line 23117. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 215 undefined on input line 23122. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 215 undefined on input line 23127. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 215 undefined on input line 23132. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 215 undefined on input line 23137. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 215 undefined on input line 23142. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 215 undefined on input line 23147. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 215 undefined on input line 23152. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 215 undefined on input line 23157. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 215 undefined on input line 23162. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 23167. [215] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 216 undefined on input line 23198. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 216 undefined on input line 23203. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 216 undefined on input line 23208. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 216 undefined on input line 23213. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 216 undefined on inpu t line 23218. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 16 undefined on input line 23223. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 23228. Underfull \hbox (badness 10000) in paragraph at lines 23235--23235 []\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 23250--23252 [] [216 <./inheritance-ec1479676a57e8519c9eb8f387640b150f34caf4.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23298--23298 [] Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 [217] ! Dimension too large. \wd \@tempboxa l.23403 ...6795fcd491d082224bc7fb747a910411e3.pdf} ! Dimension too large. b l.23403 ...6795fcd491d082224bc7fb747a910411e3.pdf} LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 218 undefined on input line 23429. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 218 undefined on input line 23434. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 218 undefined on input line 23439. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 218 undefined on input line 23444. Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 23449. Underfull \hbox (badness 10000) in paragraph at lines 23456--23456 []\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 23471--23473 [] [218 <./inheritance-e0055e6795fcd491d082224bc7fb747a910411e3.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23491--23491 [] Underfull \hbox (badness 10000) in paragraph at lines 23491--23491 LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 219 undefined on input line 23594. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 219 undefined on in put line 23599. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 219 undefined on input line 23604. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 219 undefined on input line 23609. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 219 undefined on input line 23614. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 219 undefined on input line 23619. [219 <./inheritance-4c48a4eef2a4d40da4258ccd38c5d2ab1867e9e9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 23624. Overfull \hbox (10.35059pt too wide) in paragraph at lines 23646--23648 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23694--23694 [] Underfull \hbox (badness 10000) in paragraph at lines 23694--23694 [220] [221] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 222 undefined on input line 23825. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 222 und efined on input line 23830. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 222 undefined on input line 23835 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 222 undefined on input line 23840. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 23845. Overfull \hbox (10.35059pt too wide) in paragraph at lines 23867--23869 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23887--23887 [] Underfull \hbox (badness 10000) in paragraph at lines 23887--23887 [222 <./inheritance-e1caeceeef3a69f09556727470cefabd2f3db152.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 223 undefined on input line 23990. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 223 und efined on input line 23995. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 223 undefined on input line 24000 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 223 undefined on input line 24005. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 24010. [223 <./inheritance-24c8292409e1445cdb6845a52382212d7e92c01e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24032--24034 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24052--24052 [] Underfull \hbox (badness 10000) in paragraph at lines 24052--24052 [224] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 225 undefined on input line 24155. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 2 25 undefined on input line 24160. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 225 undefined on input line 24165. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 225 und efined on input line 24170. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 24175. Overfull \hbox (10.35059pt too wide) in paragraph at lines 24197--24199 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24217--24217 [] Underfull \hbox (badness 10000) in paragraph at lines 24217--24217 [225 <./inheritance-5ab894cffd2fa556ae008811ab2180a77bad0f28.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 226 undefined on input line 24320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 226 undefined on input line 24325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 226 undefined on input line 24330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 226 undefined on input line 24335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 226 u ndefined on input line 24340. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 226 undefined on input line 24345. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 24350. Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 24357--24357 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [226 <./inheritance-c1084573efaa43564fa1ae07f46d25cc8f963757.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24372--24374 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24420--24420 [] Underfull \hbox (badness 10000) in paragraph at lines 24420--24420 [227] ! Dimension too large. \wd \@tempboxa l.24525 ...7879159773146f810da5d5980ce6282233.pdf} ! Dimension too large. b l.24525 ...7879159773146f810da5d5980ce6282233.pdf} LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 228 undefined on input line 24 551. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 228 undefined on input line 24556. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 228 undefined on input line 24561. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 228 undefined on input line 24566. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 24571. [228 <./inheritance-0997337879159773146f810da5d5980ce6282233.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 24578--24578 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 24578--24578 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 24578--24578 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 24593--24595 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24613--24613 [] Underfull \hbox (badness 10000) in paragraph at lines 24613--24613 [229] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 230 undefined on input line 24716. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 230 undefined on inpu t line 24721. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 230 undefined on in put line 24726. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 230 undefined on in put line 24731. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 230 undefined on input line 24736. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 230 undefined on input li ne 24741. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 24746. Overfull \hbox (10.35059pt too wide) in paragraph at lines 24768--24770 [] [230 <./inheritance-8758bd0939b729a22a0252b57e36eedfb539fd07.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24816--24816 [] Underfull \hbox (badness 10000) in paragraph at lines 24816--24816 [231] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 232 undefined on input line 24947. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 232 undef ined on input line 24952. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 232 undefined on input line 24957. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 232 undefined o n input line 24962. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 24967. Overfull \hbox (10.35059pt too wide) in paragraph at lines 24989--24991 [] [232 <./inheritance-9b7f63219afca5e90c0726d96b6a998074c6a421.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25009--25009 [] Underfull \hbox (badness 10000) in paragraph at lines 25009--25009 [233 <./inheritance-9f8ecc7da295adf9c012b4fdbcb3f8a3130de2f9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 234 undefined on input line 25112. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 234 undef ined on input line 25117. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 234 undefined on input line 25122. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 234 undefined o n input line 25127. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 25132. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25154--25156 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25174--25174 [] Underfull \hbox (badness 10000) in paragraph at lines 25174--25174 [234] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 235 undefined on input line 25277. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 235 undefined on input line 25282. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 235 undefined on input line 2 5287. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 235 undef ined on input line 25292. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 25297. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25319--25321 [] [235 <./inheritance-ed58abc1c06f54edc851bc2bde703b2e6309d862.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25339--25339 [] Underfull \hbox (badness 10000) in paragraph at lines 25339--25339 [236 <./inheritance-fa116752dcae6d5557b39b7b054021fa94048e51.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 237 undefined on input line 25442. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 237 undefined on input line 25447. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 237 undefined on input line 25452. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 237 undefined on input line 25457. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 237 undefined on input line 25462. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 237 undefined on input line 25467. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 25472. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25494--25496 [] [237] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25542--25542 [] Underfull \hbox (badness 10000) in paragraph at lines 25542--25542 [238] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 239 undefined on input line 25673. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 239 undefined on input line 25678. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 239 undefined o n input line 25683. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 239 undefined on input line 25688. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 25693. Underfull \hbox (badness 10000) in paragraph at lines 25700--25700 []\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 25715--25717 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25735--25735 [] Underfull \hbox (badness 10000) in paragraph at lines 25735--25735 [239 <./inheritance-f5288b1dc0d3c0c5d26ad685194e4c34e681000a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 240 undefined on input line 25838. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 240 und efined on input line 25843. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 240 u ndefined on input line 25848. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 240 u ndefined on input line 25853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 240 undefined on input line 258 58. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 240 undefin ed on input line 25863. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 25868. [240 <./inheritance-660a3479d904c386ef19366214bac9b61d45e64b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25890--25892 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25938--25938 [] Underfull \hbox (badness 10000) in paragraph at lines 25938--25938 [241] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 242 undefined on input line 26069. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 242 undefined on input line 26074. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 242 undefined on input line 26079. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 242 undefined on input line 26084. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 26089. [242 <./inheritance-1bb81c65d28feccfe3174d5bc621c556342230d7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26111--26113 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26131--26131 [] Underfull \hbox (badness 10000) in paragraph at lines 26131--26131 [243] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 244 undefined on input line 26234. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 244 und efined on input line 26239. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 244 u ndefined on input line 26244. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 244 u ndefined on input line 26249. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 244 undefined on input line 262 54. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 244 undefin ed on input line 26259. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 26264. Overfull \hbox (10.35059pt too wide) in paragraph at lines 26286--26288 [] [244 <./inheritance-0a82146073bf0cb6f4ffb1a1bbfc6b0b93b9ce32.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26334--26334 [] Underfull \hbox (badness 10000) in paragraph at lines 26334--26334 [245] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 246 undefined on input line 26465. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 246 undefined on input line 26470. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 246 undefined on inpu t line 26475. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 2 46 undefined on input line 26480. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 26485. Underfull \hbox (badness 10000) in paragraph at lines 26492--26492 []\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 26507--26509 [] [246 <./inheritance-c6fe7a9e1ccce3dd2db3e89f4907d83734efaa28.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26527--26527 [] Underfull \hbox (badness 10000) in paragraph at lines 26527--26527 [247 <./inheritance-ac7be532b2cdc0b1842f38b464b6d0942c6d5702.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 248 undefined on input line 26630. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 248 undefined on input line 26635. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 248 undefined on inpu t line 26640. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 2 48 undefined on input line 26645. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 26650. Underfull \hbox (badness 10000) in paragraph at lines 26657--26657 []\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 26672--26674 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26692--26692 [] Underfull \hbox (badness 10000) in paragraph at lines 26692--26692 [248] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 249 undefined on input line 26795. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 249 undefined on input line 26800. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 249 undefined o n input line 26805. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 249 undefined on input line 26810. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 26815. Underfull \hbox (badness 10000) in paragraph at lines 26822--26822 []\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 26837--26839 [] [249 <./inheritance-3d24e0619b3facedc2f2547c9917f2719cc4e1e0.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26857--26857 [] Underfull \hbox (badness 10000) in paragraph at lines 26857--26857 [250 <./inheritance-354924292793055163636a33f56479aefb231368.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 251 undefined on input line 26960. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 251 undefined on input line 26965. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 251 undefin ed on input line 26970. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 251 undefin ed on input line 26975. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 251 undefined on input line 26980. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 251 undefined on input line 26985. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 26990. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27012--27014 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27060--27060 [] Underfull \hbox (badness 10000) in paragraph at lines 27060--27060 [251] [252] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 253 undefined on input line 27191. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 2 53 undefined on input line 27196. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 253 undefined on input line 27201. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 253 und efined on input line 27206. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 27211. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27233--27235 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27253--27253 [] Underfull \hbox (badness 10000) in paragraph at lines 27253--27253 [253 <./inheritance-468bde00b99ea354efb5a7810fac41db6069fb5e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 254 undefined on input line 27356. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 2 54 undefined on input line 27361. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 254 undefined on input line 27366. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 254 und efined on input line 27371. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 27376. [254 <./inheritance-dad27b24eaaae2d6ed8da7cfd9ef96062c303124.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27398--27400 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27418--27418 [] Underfull \hbox (badness 10000) in paragraph at lines 27418--27418 [255] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 256 undefined on input line 27521. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 256 undefined on input line 27526. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 256 undefined on inpu t line 27531. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 2 56 undefined on input line 27536. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 27541. Underfull \hbox (badness 10000) in paragraph at lines 27548--27548 []\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 27563--27565 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27583--27583 [] Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 [256 <./inheritance-36f033894018f28005f000e716a8e91edb6821a2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 257 undefined on input line 27678. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 257 undefined on input line 27683. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 257 undefined on input line 27688. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 257 undefined on input line 276 93. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 257 undefined on input line 27698. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 257 undefined on input line 27703. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 257 undefined on input line 27708. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 257 undefined on input line 2 7713. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 257 undefined on input line 27718. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 27723. [257 <./inheritance-88c087e0b0c8cf04d6d68f223cd77d8eb19c6112.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 258 undefined on input line 27754. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 258 undefined on in put line 27759. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 258 undefined on input line 27764. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 258 undefined on input li ne 27769. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 27774. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27796--27798 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27816--27816 [] Underfull \hbox (badness 10000) in paragraph at lines 27816--27816 [258] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 259 undefined on input line 27919. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 259 undefined on input line 27924. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 259 undefined on input line 27929. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 259 undefined on input line 27934. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 27939. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27961--27963 [] [259 <./inheritance-573a98b5538bb382f0c340507beffabe55206907.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27981--27981 [] Underfull \hbox (badness 10000) in paragraph at lines 27981--27981 [260 <./inheritance-9c8edc5a96ae550aec0bdf3c480c16441986fe81.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 261 undefined on input line 28084. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 261 undefined on input line 28089. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 261 undefined on input line 28094. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 261 undefined on input line 28099. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 28104. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28126--28128 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28146--28146 [] Underfull \hbox (badness 10000) in paragraph at lines 28146--28146 [261] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 262 undefined on input line 28251. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 262 undefined on input line 28256. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 262 undefin ed on input line 28261. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 262 undefined on input line 28266. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 28271. Underfull \hbox (badness 10000) in paragraph at lines 28278--28278 []\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 28293--28295 [] [262 <./inheritance-0610dba8b00437887923347e52070007820b9b74.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28313--28313 [] Underfull \hbox (badness 10000) in paragraph at lines 28313--28313 [263 <./inheritance-0aa1e63f6b1fbda5d575c91a8fea9cee78fa2a6b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 264 undefined on input line 28416. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 264 und efined on input line 28421. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 264 undefined on input line 28426 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 264 undefined on input line 28431. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 28436. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28458--28460 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28478--28478 [] Underfull \hbox (badness 10000) in paragraph at lines 28478--28478 [264] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 265 undefined on input line 28581. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 265 und efined on input line 28586. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 265 undefined on input line 28591 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 265 undefined on input line 28596. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 28601. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28623--28625 [] [265 <./inheritance-45cd3b808dbcf97606efe92272453816698fc213.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28643--28643 [] Underfull \hbox (badness 10000) in paragraph at lines 28643--28643 [266 <./inheritance-6b580afbd560f64ab65a227b35d3832ab50ce7f8.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 267 undefined on input line 28746. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 2 67 undefined on input line 28751. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 267 undefined on input line 28756. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 267 und efined on input line 28761. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 28766. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28788--28790 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28808--28808 [] Underfull \hbox (badness 10000) in paragraph at lines 28808--28808 [267] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 268 undefined on input line 28911. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 268 undefined on input line 28916. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 268 undef ined on input line 28921. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 268 undefined on input line 28926. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 28931. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28953--28955 [] [268 <./inheritance-ba517e93eedf1d18ade17888fb9f4c330277dc96.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28973--28973 [] Underfull \hbox (badness 10000) in paragraph at lines 28973--28973 [269 <./inheritance-32d2de89f420ff5ea5bda37c2c266e21af437526.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 270 undefined on input line 29078. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 270 undefined on input line 29083. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 270 undefined on input line 29088. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 270 undefined on input line 29093. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 29098. Underfull \hbox (badness 10000) in paragraph at lines 29105--29105 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29105--29105 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 29105--29105 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29120--29122 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29140--29140 [] Underfull \hbox (badness 10000) in paragraph at lines 29140--29140 [270] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 271 undefined on input line 29235. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 29240. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 271 undefined on input line 29273. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 29278. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 271 undefined on input line 29289. [271 <./inheritance-33e25cd8d77f4fd7629c72286867cf47477b9e50.pdf>] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 272 undefined on input line 29320. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 29325. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 272 undefined on input line 29358. Underfull \hbox (badness 10000) in paragraph at lines 29360--29362 []|\T1/ptm/m/n/10 Handles model_family by ei-ther re-turn-ing the Underfull \hbox (badness 10000) in paragraph at lines 29360--29362 \T1/ptm/m/n/10 Mod-elFam-ily or con-vert-ing from a str :param Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 29363. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 272 undefined on input line 29404. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 272 undefined on input line 29409. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 272 undefined on input line 29414. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 272 undefined on input line 29419. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 29424. [272 <./inheritance-b4ccc6d2b69ea8a8ef821207dc8f874c22059c02.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 273 undefined on input line 29457. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 273 undefined on input line 29462. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 273 und efined on input line 29467. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 273 undefined on input line 29472. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 29477. [273 <./inheritance-35d8976718f88bce869791a7b18f94ed40bd71a9.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 274 undefined on input line 295 97. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 274 undefined on input line 29602. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 274 undefined on input line 29607. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 274 undefined on input line 29612 . Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 29617. [274 <./inheritance-b8926b63cc15d28543ac6c6186e6de597d3d14c5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29715--29715 []\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- [275 <./inheritance-d52265ce6b70bacb3efbc222bc74bfcbbd9d9a1b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 276 undefined on inpu t line 29745. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 276 undefined on input line 297 50. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 276 undefined on input line 29755. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 276 undefined on input line 29760. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 29765. [276] Underfull \hbox (badness 10000) in paragraph at lines 29870--29870 []\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 29870--29870 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.__init__:evalml.tuners.RandomSearchTuner.__init__' on page 277 undefined on input line 29900. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 277 undefined on input line 29905. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 277 undefined on input line 29910. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 277 undefined on in put line 29915. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 29920. Underfull \hbox (badness 10000) in paragraph at lines 29927--29927 []\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 , [277 <./inheritance-9dadd36a2857e3e3437928a0f69d7d6f1694299c.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 278 undefined on input line 30047. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 278 undefined on input line 30052. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 278 undefined on input line 3 0057. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 278 undefined on input line 300 62. LaTeX Warning: Hyper reference `generated/evalml.data_checks.LabelLeakageDataCh eck:evalml.data_checks.LabelLeakageDataCheck' on page 278 undefined on input li ne 30067. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 278 undefined on input line 30072 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 278 undefined on input line 3 0077. [278] Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 30082. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 30119. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 279 undefined on input line 30140. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 30145. [279 <./inheritance-ce2cc7e8eb49e1288902b4442288f97c01da4366.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 280 undefined on input line 30168. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 30213. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 280 undefined on input line 30234. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 30239. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 280 undefined on input line 30262. Overfull \vbox (13.58904pt too high) detected at line 30272 [280 <./inheritance-6e41147707b17113abbbffee147c964814b1cb47.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 30315. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 281 undefined on input line 30336. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 281 undefined on input line 30341. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 30346. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 281 undefined on input line 30386. [281 <./inheritance-c5c3fa11c957f0f5db50f9456b56f49302c8185b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 30441. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 282 u ndefined on input line 30462. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 282 u ndefined on input line 30467. Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 30472. [282 <./inheritance-3dd6ad1c60d486768ddbf033054ae0f7a5678668.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 30575. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.LabelLeaka geDataCheck.__init__:evalml.data_checks.LabelLeakageDataCheck.__init__' on page 283 undefined on input line 30596. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.LabelLeaka geDataCheck.validate:evalml.data_checks.LabelLeakageDataCheck.validate' on page 283 undefined on input line 30601. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 30606. [283 <./inheritance-ccede6c85c8b01401fa046af173441f461230c07.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 284 undefined on input line 30649. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 30707. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 284 und efined on input line 30728. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 284 und efined on input line 30733. [284 <./inheritance-0e5c77bd006b3e10842689dab93e3f80fa0409bc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 30738. Underfull \hbox (badness 10000) in paragraph at lines 30748--30750 []\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 [285 <./inheritance-eb4eb5111f3e41da6fbf474eca76afb764596017.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 30831. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 286 undefined on input line 30852. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 286 undefined on input line 30857. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 30862. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 286 undefined on input line 30928. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 286 undefined on input line 30933 . Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 30938. [286] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 287 undefined on inpu t line 30969. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 287 undefined on inpu t line 30974. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 30979. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 287 undefined on input line 30990. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 287 undefined on input line 31018. [287 <./inheritance-c3d86f6de8b1f55b76372b187e4b9c2f36e10589.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 288 und efined on input line 31060. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 288 und efined on input line 31065. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 31070. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 288 undefined on input line 31081. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 288 undefined on input line 31109. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 288 undefined on input line 31140. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 288 undefined on input line 31145. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 288 undefined on input line 31150. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 31155. [288 <./inheritance-7466712241d9b0593b81f30bcee4abc573667b63.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 289 undef ined on input line 31192. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 289 undefin ed on input line 31197. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 289 undefined on input line 31202. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 31207. [289 <./inheritance-9d10608233a98760263ec81cac5b12a4933cb326.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 290 undefined on input line 31291. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 290 undefined o n input line 31296. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 290 undefined on input line 31301. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 31306. [290 <./inheritance-583c8bc4f9e5d2e25113d5cd7e817631d23c4ff3.pdf> <./inheritanc e-d66d5b3cf14cf83dfe0492c0832ab9e663d5e1cc.pdf pdfTeX warning: pdflatex (file ./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 291 undef ined on input line 31390. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 291 undefin ed on input line 31395. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 291 undefined on input line 31400. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 31405. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 291 undefined on input line 31475. Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 31480. [291 <./inheritance-9a70c345606d6bf40f5dce88eff55bfa0176008c.pdf>] LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 292 undefined on input line 31519. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 292 undefined on input line 31524. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 292 undefined on input line 31529. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 292 undefined on input line 31534. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 31539. [292] [293] [294] Chapter 6. [295] Underfull \hbox (badness 10000) in paragraph at lines 31752--31755 [] [296] [297] Overfull \hbox (41.08026pt too wide) in paragraph at lines 32022--32023 []\T1/ptm/m/n/10 Moved \T1/ptm/m/it/10 evalml.model_families.list_model_familie s \T1/ptm/m/n/10 to \T1/ptm/m/it/10 evalml.pipelines.components.allowed_model_f amilies [298] Underfull \hbox (badness 10000) in paragraph at lines 32086--32087 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to [299] [300] Underfull \hbox (badness 5374) in paragraph at lines 32356--32357 []\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 Underfull \hbox (badness 10000) in paragraph at lines 32362--32363 []\T1/ptm/m/n/10 Pipelines' and clas-si-fiers' \T1/pcr/m/n/10 feature_importanc es \T1/ptm/m/n/10 is re-named \T1/ptm/m/it/10 fea-ture_importance\T1/ptm/m/n/10 , [301] Underfull \hbox (badness 5403) in paragraph at lines 32397--32398 []\T1/ptm/m/n/10 Added precicion-recall curve met-rics and plot for bi-nary cla s-si-fi-ca-tion prob-lems in [302] [303] [304] [305] [306] Underfull \hbox (badness 8113) in paragraph at lines 32953--32954 []\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 32959--32960 []\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 [307] [308] [309] [310] [311] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [312] (./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 (316 pages, 1622639 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 (932 entries accepted, 0 rejected). Sorting entries..........done (9959 comparisons). Generating output file feature-labs-inc-evalml.ind....done (1707 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.ind' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.600 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.600 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] [15] Overfull \vbox (0.68346pt too high) detected at line 1459 [16] [17] [18] [19] [20] [21] [22] [23] [24] Chapter 4. [25] [26] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2468 ...]{{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.2468 ...]{{keyboard_interrupt_demo_updated}.gif} [27] [28] [29] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [30] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [31] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [32] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [33] [34] Underfull \hbox (badness 10000) in paragraph at lines 3004--3005 []\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 , [35] [36] Underfull \vbox (badness 10000) detected at line 3205 Overfull \vbox (2.68169pt too high) detected at line 3205 [37] [38] [39] [40] [41] [42] [43] [44] Underfull \hbox (badness 10000) in paragraph at lines 3761--3762 \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 , [45] [46] [47] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4020 ...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.4020 ...xdimen]{{user_guide_pipelines_16_0}.svg} [48] [49] [50] [51] [52] [53] Overfull \vbox (5.63934pt too high) detected at line 4695 [54] Underfull \vbox (badness 10000) detected at line 4695 Overfull \vbox (13.68169pt too high) detected at line 4695 [55] [56] Underfull \vbox (badness 10000) detected at line 4785 [57] [58] Underfull \vbox (badness 10000) detected at line 4929 Overfull \vbox (2.68169pt too high) detected at line 4929 [59] [60] Underfull \hbox (badness 10000) in paragraph at lines 4991--4992 \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 [61] [62] [63] [64] Chapter 5. [65] [66] [67] Underfull \hbox (badness 10000) in paragraph at lines 5545--5545 []\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 5545--5545 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 5545--5545 \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 5545--5545 \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 5545--5545 \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 5545--5545 \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 , \T1/ptm/m/it/10 op-ti - Overfull \hbox (24.22249pt too wide) in paragraph at lines 5592--5593 []|[][]\T1/pcr/m/sl/10 print_objective_names_allowed_in_automl[][]| Underfull \hbox (badness 10000) in paragraph at lines 5614--5614 []\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_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5614--5614 \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 5614--5614 \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 5614--5614 \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 10000) in paragraph at lines 5614--5614 \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 , [68 <./inheritance-1e18c30afd35d4935cafa45952c93c34ddc1adae.pdf>] Underfull \hbox (badness 7869) in paragraph at lines 5651--5655 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [69] [70] [71] Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [72 <./inheritance-e1dc270797989ccb29935590c5b95c8455ecfc23.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- [73 <./inheritance-cb505c75532111120300ceec2023c4acc3912847.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6158--6158 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_pi pelines=None\T1/ptm/m/n/10 , [74] Underfull \hbox (badness 5908) in paragraph at lines 6306--6308 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [75 <./inheritance-c9c02a07e954a88c0bf8ff03dc9a3f8e07c64ef1.pdf>] [76] [77] [78 <./inheritance-ef9a78b29272c0d632e0db38e101c4b3d5cfc3e5.pdf>] [79] Underfull \hbox (badness 10000) in paragraph at lines 6831--6833 []\T1/ptm/m/n/10 by sorted(set(y)) [80] [81] [82 <./inheritance-30e6f7d2374080246a40d9b962a73732b02075a6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7210--7212 []\T1/ptm/m/n/10 by sorted(set(y)) [83] Overfull \hbox (6.95404pt too wide) in paragraph at lines 7281--7281 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [84] Underfull \hbox (badness 10000) in paragraph at lines 7430--7430 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [85 <./inheritance-43bdbc8f20a7302bb014aac4cd9f7913a31ceaef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7589--7591 []\T1/ptm/m/n/10 by sorted(set(y)) [86] Overfull \hbox (30.95404pt too wide) in paragraph at lines 7660--7660 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [87] [88] [89 <./inheritance-c0afc274f6b70cb750e33621ea7a9102f9c27348.pdf>] [90] [91] ! Dimension too large. \wd \@tempboxa l.8197 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} ! Dimension too large. b l.8197 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} [92 <./inheritance-6f3b2275fdce57243ef2e5bab0c3aef495856f0b.pdf>] [93] Underfull \hbox (badness 10000) in paragraph at lines 8455--8457 []\T1/ptm/m/n/10 by sorted(set(y)) [94] ! Dimension too large. \wd \@tempboxa l.8671 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} ! Dimension too large. b l.8671 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} [95] [96 <./inheritance-6fdb41a1217c671bfe68e7ab05ac74d9662f94fd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8924--8926 []\T1/ptm/m/n/10 by sorted(set(y)) [97] [98] ! Dimension too large. \wd \@tempboxa l.9140 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} ! Dimension too large. b l.9140 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} [99 <./inheritance-cf06fd64f927f0866bf4f5463e7cf87f21ecce82.pdf>] [100] Underfull \hbox (badness 10000) in paragraph at lines 9398--9400 []\T1/ptm/m/n/10 by sorted(set(y)) [101] [102] ! Dimension too large. \wd \@tempboxa l.9614 ...9fd8f83c30ffb7f39b742afd3323fbc8774.pdf} ! Dimension too large. b l.9614 ...9fd8f83c30ffb7f39b742afd3323fbc8774.pdf} Underfull \hbox (badness 10000) in paragraph at lines 9618--9618 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [103 <./inheritance-c83ce9fd8f83c30ffb7f39b742afd3323fbc8774.pdf>] [104] Underfull \hbox (badness 10000) in paragraph at lines 9867--9869 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 9938--9938 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [105] [106] [107 <./inheritance-626b364d1301d7fd46578c124286b3dd895b2423.pdf>] [108] [109] [110] Underfull \hbox (badness 10000) in paragraph at lines 10554--10554 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [111 <./inheritance-85c49b58be816edfd1f3e23fbf93004a41b913d1.pdf>] [112] Overfull \hbox (18.95404pt too wide) in paragraph at lines 10861--10861 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [113] [114] Underfull \hbox (badness 10000) in paragraph at lines 11091--11091 []\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 11091--11091 \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 , Underfull \hbox (badness 10000) in paragraph at lines 11150--11150 []\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 , [115 <./inheritance-f487f7257db490cd12fcb79f102190e3106f95d4.pdf>] [116] Underfull \hbox (badness 10000) in paragraph at lines 11282--11282 []\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 11282--11282 \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 , [117 <./inheritance-021f4dd9c4df0c6d79e2670d0604cf002005c056.pdf>] [118] Underfull \hbox (badness 10000) in paragraph at lines 11548--11548 []\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 , [119 <./inheritance-36c72da075e84c783f4071052fc8408a1ab6f3de.pdf>] [120] [121] Underfull \hbox (badness 10000) in paragraph at lines 11854--11854 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , ! Dimension too large. \wd \@tempboxa l.11967 ...b9596c3adb25418e9bc3aca3f493649286.pdf} ! Dimension too large. b l.11967 ...b9596c3adb25418e9bc3aca3f493649286.pdf} Underfull \hbox (badness 10000) in paragraph at lines 11971--11971 []\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 , [122 <./inheritance-fca7a4b9596c3adb25418e9bc3aca3f493649286.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 12050--12052 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [123] [124] ! Dimension too large. \wd \@tempboxa l.12284 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} ! Dimension too large. b l.12284 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12288--12288 []\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 12367--12369 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [125 <./inheritance-54e057ebf33d8169cae4eb13364dd9d150ffc09c.pdf>] [126] ! Dimension too large. \wd \@tempboxa l.12601 ...68f43483a177df3d97f31bf9b996977758.pdf} ! Dimension too large. b l.12601 ...68f43483a177df3d97f31bf9b996977758.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 \T1/ptm/m/it/10 drop=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 \T1/ptm/m/it/10 dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [127 <./inheritance-e57eeb68f43483a177df3d97f31bf9b996977758.pdf>] [128] [129] ! Dimension too large. \wd \@tempboxa l.12938 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} ! Dimension too large. b l.12938 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12942--12942 []\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 12942--12942 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [130 <./inheritance-8338936377eb6c52dd1e302cda06dee3a30d7f4b.pdf>] Overfull \hbox (5.61217pt too wide) in paragraph at lines 13066--13066 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 13071--13075 []\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, [131] [132] ! Dimension too large. \wd \@tempboxa l.13270 ...62412556152e04415250ae9ebeeb97ab71.pdf} ! Dimension too large. b l.13270 ...62412556152e04415250ae9ebeeb97ab71.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13274--13274 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13274--13274 \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 13274--13274 \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 13274--13274 \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 , [133 <./inheritance-1bd84e62412556152e04415250ae9ebeeb97ab71.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13398--13398 []\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 , [134] [135] Overfull \hbox (62.0307pt too wide) in paragraph at lines 13574--13576 [] ! Dimension too large. \wd \@tempboxa l.13605 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} ! Dimension too large. b l.13605 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13609--13609 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13609--13609 \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 , [136 <./inheritance-e4eeacd70f8e119fe715c7a7b33e3a4875175a57.pdf>] [137] Overfull \hbox (62.0307pt too wide) in paragraph at lines 13900--13902 [] [138] ! Dimension too large. \wd \@tempboxa l.13931 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} ! Dimension too large. b l.13931 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} [139 <./inheritance-783f43e35a00a3a1072d51a3e2bb993e953ab96d.pdf>] [140] ! Dimension too large. \wd \@tempboxa l.14243 ...09315650d1a7865965715098101afdb8a5.pdf} ! Dimension too large. b l.14243 ...09315650d1a7865965715098101afdb8a5.pdf} Overfull \hbox (19.00412pt too wide) in paragraph at lines 14247--14247 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \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 14247--14247 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [141 <./inheritance-e6d10a09315650d1a7865965715098101afdb8a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14376--14376 []\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 14376--14376 \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 14376--14376 \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 , [142] [143] ! Dimension too large. \wd \@tempboxa l.14576 ...82bfc926d25216b2a75c4269183a5093c6.pdf} ! Dimension too large. b l.14576 ...82bfc926d25216b2a75c4269183a5093c6.pdf} Overfull \hbox (25.00412pt too wide) in paragraph at lines 14580--14580 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \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 14580--14580 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [144 <./inheritance-f768dc82bfc926d25216b2a75c4269183a5093c6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14709--14709 []\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 14709--14709 \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 14709--14709 \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 , [145] [146] ! Dimension too large. \wd \@tempboxa l.14909 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} ! Dimension too large. b l.14909 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14913--14913 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [147 <./inheritance-86ffa1890ef3eb1c7d1898d642a71b7d626981ee.pdf>] [148] ! Dimension too large. \wd \@tempboxa l.15223 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} ! Dimension too large. b l.15223 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} [149 <./inheritance-c389f1735004539501381a1bdf4abbf7e4d62ab8.pdf>] [150] [151] ! Dimension too large. \wd \@tempboxa l.15546 ...e37cbdb7720f90b05a56545668be85270a.pdf} ! Dimension too large. b l.15546 ...e37cbdb7720f90b05a56545668be85270a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 15550--15550 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152 <./inheritance-c617d4e37cbdb7720f90b05a56545668be85270a.pdf>] [153] ! Dimension too large. \wd \@tempboxa l.15937 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} ! Dimension too large. b l.15937 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} [154] Underfull \hbox (badness 10000) in paragraph at lines 15941--15941 []\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 15941--15941 \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 16089--16089 []\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- [155 <./inheritance-44d810727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf>] [156] ! Dimension too large. \wd \@tempboxa l.16261 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} ! Dimension too large. b l.16261 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16265--16265 []\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 16265--16265 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16265--16265 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [157 <./inheritance-f7deef258c28bc95d279b46640f5e38f28e48ba7.pdf>] [158] ! Dimension too large. \wd \@tempboxa l.16572 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} ! Dimension too large. b l.16572 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} [159] Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \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 16711--16711 []\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 16711--16711 \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 , [160 <./inheritance-12cb2cf06b5c4e0fc80056aefe0421510f1594e4.pdf>] [161] ! Dimension too large. \wd \@tempboxa l.16883 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} ! Dimension too large. b l.16883 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16887--16887 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16887--16887 \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 , [162 <./inheritance-10b1e18b471febf9f8fe93e1193db25ea8da169e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17022--17022 []\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- [163] ! Dimension too large. \wd \@tempboxa l.17194 ...9828e64e8cfabce656c3e60374e0038c72.pdf} ! Dimension too large. b l.17194 ...9828e64e8cfabce656c3e60374e0038c72.pdf} [164] Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \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 17343--17343 \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 , [165 <./inheritance-1fb17c9828e64e8cfabce656c3e60374e0038c72.pdf>] [166] ! Dimension too large. \wd \@tempboxa l.17515 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} ! Dimension too large. b l.17515 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [167 <./inheritance-972c69d940b389fa3396e584ff3afe7fb20275cc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17654--17654 []\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 , \T1/ptm/m/it/10 ran- [168] ! Dimension too large. \wd \@tempboxa l.17826 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} ! Dimension too large. b l.17826 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} [169] Underfull \hbox (badness 10000) in paragraph at lines 17830--17830 []\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 17830--17830 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17830--17830 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [170 <./inheritance-9b1c24ca1b95dd3da5ed129a3639fba2a8273408.pdf>] [171] ! Dimension too large. \wd \@tempboxa l.18147 ...50b69abde46857ee001e566cf1650d5c78.pdf} ! Dimension too large. b l.18147 ...50b69abde46857ee001e566cf1650d5c78.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18151--18151 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [172 <./inheritance-7ba48e50b69abde46857ee001e566cf1650d5c78.pdf>] [173] [174] ! Dimension too large. \wd \@tempboxa l.18536 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} ! Dimension too large. b l.18536 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18540--18540 []\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 18540--18540 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- [175 <./inheritance-5cd67408660c74aa6bd8dd594916bcfb93426e43.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18688--18688 []\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- [176] ! Dimension too large. \wd \@tempboxa l.18860 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} ! Dimension too large. b l.18860 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18864--18864 []\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 18864--18864 \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 18864--18864 \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 , [177 <./inheritance-1aabcff00496e1680b24dc93e964049a0dfe6e8d.pdf>] [178] [179] ! Dimension too large. \wd \@tempboxa l.19171 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} ! Dimension too large. b l.19171 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19175--19175 []\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 19175--19175 \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- [180 <./inheritance-e4c37b6ec41e33e162c6c28509eead7a0fd2e98b.pdf>] [181] ! Dimension too large. \wd \@tempboxa l.19482 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} ! Dimension too large. b l.19482 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [182 <./inheritance-5a38f53ef6334e9c7361cd61656ed9b25064f89d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19621--19621 []\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 19621--19621 \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 , [183] [184] ! Dimension too large. \wd \@tempboxa l.19793 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} ! Dimension too large. b l.19793 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19797--19797 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19797--19797 \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 19797--19797 \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 , [185 <./inheritance-6ecb00b018fc4e79dbf57f4caf352e6e0b613797.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19932--19932 []\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- [186] ! Dimension too large. \wd \@tempboxa l.20104 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} ! Dimension too large. b l.20104 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20108--20108 []\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 20108--20108 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20108--20108 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [187 <./inheritance-b6206847048c1dff2af5d8a008dc2e0a60d99099.pdf>] [188] [189] ! Dimension too large. \wd \@tempboxa l.20425 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} ! Dimension too large. b l.20425 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20429--20429 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [190 <./inheritance-f58b8113ced0e7ec590912a80d708cdd64c63af7.pdf>] [191] [192] Underfull \hbox (badness 10000) in paragraph at lines 20832--20832 []\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- Underfull \hbox (badness 10000) in paragraph at lines 20863--20863 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [193] [194] Underfull \hbox (badness 10000) in paragraph at lines 21008--21008 []\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 21008--21008 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 21039--21039 []\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 21039--21039 \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 21072--21072 \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 21072--21072 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 21187--21187 []\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 21187--21187 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Overfull \hbox (9.96457pt too wide) in paragraph at lines 21259--21259 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [197] Overfull \hbox (15.96457pt too wide) in paragraph at lines 21300--21300 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [198] Overfull \hbox (94.49048pt too wide) in paragraph at lines 21330--21332 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 21346--21346 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [199] Overfull \hbox (102.73972pt too wide) in paragraph at lines 21384--21387 [] [200 <./inheritance-07c1605e071dab6b69f3ce4747d98a87707cfa44.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 21513--21515 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 21533--21533 [] Underfull \hbox (badness 10000) in paragraph at lines 21533--21533 [201] Overfull \hbox (27.03467pt too wide) in paragraph at lines 21676--21676 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 21676--21676 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 21676--21676 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 21691--21693 [] Underfull \hbox (badness 10000) in paragraph at lines 21710--21710 []\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 , [202 <./inheritance-9ed9e93988ef52b829df5d142118754a9b323b5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21738--21738 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21738--21738 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 21739--21739 [] Underfull \hbox (badness 10000) in paragraph at lines 21739--21739 [203] Overfull \hbox (51.03467pt too wide) in paragraph at lines 21899--21899 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 21899--21899 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 21899--21899 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [204 <./inheritance-af479a5adeca365503c354ee58bd45a89f5cb882.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 21914--21916 [] Underfull \hbox (badness 10000) in paragraph at lines 21933--21933 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 21933--21933 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 21933--21933 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 21934--21934 [] Underfull \hbox (badness 10000) in paragraph at lines 21934--21934 [205] Underfull \hbox (badness 10000) in paragraph at lines 22066--22066 []\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 22081--22083 [] Underfull \hbox (badness 10000) in paragraph at lines 22100--22100 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 22101--22101 [] Underfull \hbox (badness 10000) in paragraph at lines 22101--22101 [206 <./inheritance-d1aea97fb46dc2e14443a25bf91b1064eb23dd02.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22220--22220 []\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 , [207 <./inheritance-37ae68f2217773e86042770dfe4589b0b1feef6f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22330--22332 [] [208] [209] [210 <./inheritance-acafd40fec2fed6a4b735783d2ee7f4ac9c19b9c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22596--22598 [] [211] Underfull \hbox (badness 10000) in paragraph at lines 22760--22760 []\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 , [212 <./inheritance-983079748ef7532b70b5ba7a08be9e750a99ee85.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22854--22854 []\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 22869--22871 [] [213] [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 23235--23235 []\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 23250--23252 [] [216 <./inheritance-ec1479676a57e8519c9eb8f387640b150f34caf4.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23298--23298 [] Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 [217] ! Dimension too large. \wd \@tempboxa l.23403 ...6795fcd491d082224bc7fb747a910411e3.pdf} ! Dimension too large. b l.23403 ...6795fcd491d082224bc7fb747a910411e3.pdf} Underfull \hbox (badness 10000) in paragraph at lines 23456--23456 []\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 23471--23473 [] [218 <./inheritance-e0055e6795fcd491d082224bc7fb747a910411e3.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23491--23491 [] Underfull \hbox (badness 10000) in paragraph at lines 23491--23491 [219 <./inheritance-4c48a4eef2a4d40da4258ccd38c5d2ab1867e9e9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23646--23648 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23694--23694 [] Underfull \hbox (badness 10000) in paragraph at lines 23694--23694 [220] [221] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23867--23869 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23887--23887 [] Underfull \hbox (badness 10000) in paragraph at lines 23887--23887 [222 <./inheritance-e1caeceeef3a69f09556727470cefabd2f3db152.pdf>] [223 <./inhe ritance-24c8292409e1445cdb6845a52382212d7e92c01e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24032--24034 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24052--24052 [] Underfull \hbox (badness 10000) in paragraph at lines 24052--24052 [224] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24197--24199 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24217--24217 [] Underfull \hbox (badness 10000) in paragraph at lines 24217--24217 [225 <./inheritance-5ab894cffd2fa556ae008811ab2180a77bad0f28.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 24357--24357 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [226 <./inheritance-c1084573efaa43564fa1ae07f46d25cc8f963757.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24372--24374 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24420--24420 [] Underfull \hbox (badness 10000) in paragraph at lines 24420--24420 [227] ! Dimension too large. \wd \@tempboxa l.24525 ...7879159773146f810da5d5980ce6282233.pdf} ! Dimension too large. b l.24525 ...7879159773146f810da5d5980ce6282233.pdf} [228 <./inheritance-0997337879159773146f810da5d5980ce6282233.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 24578--24578 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 24578--24578 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 24578--24578 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 24593--24595 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24613--24613 [] Underfull \hbox (badness 10000) in paragraph at lines 24613--24613 [229] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24768--24770 [] [230 <./inheritance-8758bd0939b729a22a0252b57e36eedfb539fd07.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24816--24816 [] Underfull \hbox (badness 10000) in paragraph at lines 24816--24816 [231] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24989--24991 [] [232 <./inheritance-9b7f63219afca5e90c0726d96b6a998074c6a421.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25009--25009 [] Underfull \hbox (badness 10000) in paragraph at lines 25009--25009 [233 <./inheritance-9f8ecc7da295adf9c012b4fdbcb3f8a3130de2f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25154--25156 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25174--25174 [] Underfull \hbox (badness 10000) in paragraph at lines 25174--25174 [234] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25319--25321 [] [235 <./inheritance-ed58abc1c06f54edc851bc2bde703b2e6309d862.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25339--25339 [] Underfull \hbox (badness 10000) in paragraph at lines 25339--25339 [236 <./inheritance-fa116752dcae6d5557b39b7b054021fa94048e51.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25494--25496 [] [237] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25542--25542 [] Underfull \hbox (badness 10000) in paragraph at lines 25542--25542 [238] Underfull \hbox (badness 10000) in paragraph at lines 25700--25700 []\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 25715--25717 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25735--25735 [] Underfull \hbox (badness 10000) in paragraph at lines 25735--25735 [239 <./inheritance-f5288b1dc0d3c0c5d26ad685194e4c34e681000a.pdf>] [240 <./inhe ritance-660a3479d904c386ef19366214bac9b61d45e64b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25890--25892 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25938--25938 [] Underfull \hbox (badness 10000) in paragraph at lines 25938--25938 [241] [242 <./inheritance-1bb81c65d28feccfe3174d5bc621c556342230d7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26111--26113 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26131--26131 [] Underfull \hbox (badness 10000) in paragraph at lines 26131--26131 [243] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26286--26288 [] [244 <./inheritance-0a82146073bf0cb6f4ffb1a1bbfc6b0b93b9ce32.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26334--26334 [] Underfull \hbox (badness 10000) in paragraph at lines 26334--26334 [245] Underfull \hbox (badness 10000) in paragraph at lines 26492--26492 []\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 26507--26509 [] [246 <./inheritance-c6fe7a9e1ccce3dd2db3e89f4907d83734efaa28.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26527--26527 [] Underfull \hbox (badness 10000) in paragraph at lines 26527--26527 [247 <./inheritance-ac7be532b2cdc0b1842f38b464b6d0942c6d5702.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26657--26657 []\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 26672--26674 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26692--26692 [] Underfull \hbox (badness 10000) in paragraph at lines 26692--26692 [248] Underfull \hbox (badness 10000) in paragraph at lines 26822--26822 []\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 26837--26839 [] [249 <./inheritance-3d24e0619b3facedc2f2547c9917f2719cc4e1e0.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26857--26857 [] Underfull \hbox (badness 10000) in paragraph at lines 26857--26857 [250 <./inheritance-354924292793055163636a33f56479aefb231368.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27012--27014 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27060--27060 [] Underfull \hbox (badness 10000) in paragraph at lines 27060--27060 [251] [252] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27233--27235 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27253--27253 [] Underfull \hbox (badness 10000) in paragraph at lines 27253--27253 [253 <./inheritance-468bde00b99ea354efb5a7810fac41db6069fb5e.pdf>] [254 <./inhe ritance-dad27b24eaaae2d6ed8da7cfd9ef96062c303124.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27398--27400 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27418--27418 [] Underfull \hbox (badness 10000) in paragraph at lines 27418--27418 [255] Underfull \hbox (badness 10000) in paragraph at lines 27548--27548 []\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 27563--27565 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27583--27583 [] Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 [256 <./inheritance-36f033894018f28005f000e716a8e91edb6821a2.pdf>] [257 <./inhe ritance-88c087e0b0c8cf04d6d68f223cd77d8eb19c6112.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27796--27798 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27816--27816 [] Underfull \hbox (badness 10000) in paragraph at lines 27816--27816 [258] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27961--27963 [] [259 <./inheritance-573a98b5538bb382f0c340507beffabe55206907.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27981--27981 [] Underfull \hbox (badness 10000) in paragraph at lines 27981--27981 [260 <./inheritance-9c8edc5a96ae550aec0bdf3c480c16441986fe81.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28126--28128 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28146--28146 [] Underfull \hbox (badness 10000) in paragraph at lines 28146--28146 [261] Underfull \hbox (badness 10000) in paragraph at lines 28278--28278 []\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 28293--28295 [] [262 <./inheritance-0610dba8b00437887923347e52070007820b9b74.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28313--28313 [] Underfull \hbox (badness 10000) in paragraph at lines 28313--28313 [263 <./inheritance-0aa1e63f6b1fbda5d575c91a8fea9cee78fa2a6b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28458--28460 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28478--28478 [] Underfull \hbox (badness 10000) in paragraph at lines 28478--28478 [264] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28623--28625 [] [265 <./inheritance-45cd3b808dbcf97606efe92272453816698fc213.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28643--28643 [] Underfull \hbox (badness 10000) in paragraph at lines 28643--28643 [266 <./inheritance-6b580afbd560f64ab65a227b35d3832ab50ce7f8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28788--28790 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28808--28808 [] Underfull \hbox (badness 10000) in paragraph at lines 28808--28808 [267] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28953--28955 [] [268 <./inheritance-ba517e93eedf1d18ade17888fb9f4c330277dc96.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28973--28973 [] Underfull \hbox (badness 10000) in paragraph at lines 28973--28973 [269 <./inheritance-32d2de89f420ff5ea5bda37c2c266e21af437526.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29105--29105 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29105--29105 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 29105--29105 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29120--29122 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29140--29140 [] Underfull \hbox (badness 10000) in paragraph at lines 29140--29140 [270] [271 <./inheritance-33e25cd8d77f4fd7629c72286867cf47477b9e50.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29360--29362 []|\T1/ptm/m/n/10 Handles model_family by ei-ther re-turn-ing the Underfull \hbox (badness 10000) in paragraph at lines 29360--29362 \T1/ptm/m/n/10 Mod-elFam-ily or con-vert-ing from a str :param [272 <./inheritance-b4ccc6d2b69ea8a8ef821207dc8f874c22059c02.pdf>] [273 <./inhe ritance-35d8976718f88bce869791a7b18f94ed40bd71a9.pdf>] [274 <./inheritance-b892 6b63cc15d28543ac6c6186e6de597d3d14c5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29715--29715 []\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- [275 <./inheritance-d52265ce6b70bacb3efbc222bc74bfcbbd9d9a1b.pdf>] [276] Underfull \hbox (badness 10000) in paragraph at lines 29870--29870 []\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 29870--29870 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- Underfull \hbox (badness 10000) in paragraph at lines 29927--29927 []\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 , [277 <./inheritance-9dadd36a2857e3e3437928a0f69d7d6f1694299c.pdf>] [278] [279 <./inheritance-ce2cc7e8eb49e1288902b4442288f97c01da4366.pdf>] Overfull \vbox (13.58904pt too high) detected at line 30272 [280 <./inheritance-6e41147707b17113abbbffee147c964814b1cb47.pdf>] [281 <./inhe ritance-c5c3fa11c957f0f5db50f9456b56f49302c8185b.pdf>] [282 <./inheritance-3dd6 ad1c60d486768ddbf033054ae0f7a5678668.pdf>] [283 <./inheritance-ccede6c85c8b0140 1fa046af173441f461230c07.pdf>] [284 <./inheritance-0e5c77bd006b3e10842689dab93e 3f80fa0409bc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30748--30750 []\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 [285 <./inheritance-eb4eb5111f3e41da6fbf474eca76afb764596017.pdf>] [286] [287 <./inheritance-c3d86f6de8b1f55b76372b187e4b9c2f36e10589.pdf>] [288 <./inhe ritance-7466712241d9b0593b81f30bcee4abc573667b63.pdf>] [289 <./inheritance-9d10 608233a98760263ec81cac5b12a4933cb326.pdf>] [290 <./inheritance-583c8bc4f9e5d2e2 5113d5cd7e817631d23c4ff3.pdf> <./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf pdfTeX warning: pdflatex (file ./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [291 <./inheritance-9a70c345606d6bf40f5dce88eff55bfa0176008c.pdf>] [292] [293] [294] Chapter 6. [295] Underfull \hbox (badness 10000) in paragraph at lines 31752--31755 [] [296] [297] Overfull \hbox (41.08026pt too wide) in paragraph at lines 32022--32023 []\T1/ptm/m/n/10 Moved \T1/ptm/m/it/10 evalml.model_families.list_model_familie s \T1/ptm/m/n/10 to \T1/ptm/m/it/10 evalml.pipelines.components.allowed_model_f amilies [298] Underfull \hbox (badness 10000) in paragraph at lines 32086--32087 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to [299] [300] Underfull \hbox (badness 5374) in paragraph at lines 32356--32357 []\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 Underfull \hbox (badness 10000) in paragraph at lines 32362--32363 []\T1/ptm/m/n/10 Pipelines' and clas-si-fiers' \T1/pcr/m/n/10 feature_importanc es \T1/ptm/m/n/10 is re-named \T1/ptm/m/it/10 fea-ture_importance\T1/ptm/m/n/10 , [301] Underfull \hbox (badness 5403) in paragraph at lines 32397--32398 []\T1/ptm/m/n/10 Added precicion-recall curve met-rics and plot for bi-nary cla s-si-fi-ca-tion prob-lems in [302] [303] [304] [305] [306] Underfull \hbox (badness 8113) in paragraph at lines 32953--32954 []\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 32959--32960 []\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 [307] [308] [309] [310] [311] (./feature-labs-inc-evalml.ind [312] 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 Underfull \hbox (badness 10000) 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. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 25--26 []\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 28--30 []\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 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (17.19112pt 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. LabelLeakageDataCheck Overfull \hbox (7.95114pt 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. NoVarianceDataCheck Underfull \hbox (badness 6348) 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. OutliersDataCheck Underfull \hbox (badness 10000) in paragraph at lines 38--40 []\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 40--41 []\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 44--46 []\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 46--48 []\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 48--50 []\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 50--52 []\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 52--54 []\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 54--56 []\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 56--58 []\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 58--60 []\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 61--63 []\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 63--65 []\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 65--67 []\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 67--69 []\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 69--71 []\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 71--73 []\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 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt 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.ExtraTreesClassifier [313] Overfull \hbox (36.39029pt 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.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt 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.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 124--125 []\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 127--129 []\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 129--131 []\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 131--133 []\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 139--140 []\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 142--144 []\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 144--146 []\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 147--149 []\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 153--155 []\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 159--160 []\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 160--161 []\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 161--162 []\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 162--164 []\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 164--165 []\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 165--166 []\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 166--168 []\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 170--172 []\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 172--173 []\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 176--178 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 176--178 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 178--180 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 180--182 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 calculate_percent_difference() [314] Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 186--188 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 186--188 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 188--190 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 188--190 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 190--192 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 190--192 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 192--194 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 192--194 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 194--196 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 194--196 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 196--198 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 198--200 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 200--202 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 200--202 \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 202--204 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 202--204 \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 204--206 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 206--208 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 206--208 \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 208--210 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 210--212 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 210--212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 212--214 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 212--214 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 214--216 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 216--218 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 216--218 \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 218--220 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 222--224 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 222--224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 224--226 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 224--226 \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 226--228 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 228--230 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 228--230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 230--232 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 230--232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 232--234 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 232--234 \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 234--236 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 234--236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 236--238 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 236--238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 238--240 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 238--240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 240--242 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 242--244 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 242--244 \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 244--246 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 246--248 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 248--250 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 248--250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 250--252 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 250--252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 252--254 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 252--254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 254--256 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 254--256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 256--258 []\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 258--260 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [315] Underfull \hbox (badness 10000) in paragraph at lines 260--262 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 262--263 []\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 263--264 []\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 268--270 []\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 270--271 []\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 271--273 []\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 273--275 []\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 275--277 []\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 277--279 []\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 279--281 []\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 281--283 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 283--285 []\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 285--287 []\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 287--289 []\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 289--291 []\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 291--292 []\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 292--294 []\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 294--296 []\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 296--297 []\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 297--299 []\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 299--301 []\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 301--303 []\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 303--305 []\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 305--307 []\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 307--309 []\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 309--311 []\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 311--313 []\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 313--315 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) 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.TextFeaturizer Underfull \hbox (badness 10000) 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.Transformer Overfull \hbox (9.69035pt 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.XGBoostClassifier Overfull \hbox (11.13054pt 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.XGBoostRegressor Overfull \hbox (19.18016pt 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.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt 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.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt 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.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt 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.Multi classClassificationPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 339--341 []\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 341--343 []\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 343--345 []\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 345--347 []\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 347--349 []\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 349--351 []\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 351--352 []\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 352--354 []\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 356--358 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 356--358 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline [316] Underfull \hbox (badness 10000) in paragraph at lines 358--360 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 358--360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 360--362 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 360--362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 362--364 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 362--364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 364--366 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 364--366 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 366--368 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 366--368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 368--370 []\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 370--372 []\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 372--374 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 374--376 []\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 376--378 []\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 378--380 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--387 []\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 389--391 []\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 391--393 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 391--393 \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 393--394 []\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 394--396 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 400--401 []\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 401--403 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 403--405 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 403--405 \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 405--407 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 405--407 \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 407--409 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 407--409 \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 411--412 []\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 412--414 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 416--418 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 416--418 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 418--420 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 418--420 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 420--422 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 420--422 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 422--424 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 422--424 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 424--426 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 424--426 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 426--428 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 426--428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 428--430 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 428--430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 430--432 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 430--432 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 432--434 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 432--434 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 434--436 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 434--436 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 436--438 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 436--438 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r [317] Underfull \hbox (badness 10000) in paragraph at lines 438--440 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 438--440 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 440--442 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 440--442 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 442--444 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 442--444 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 444--446 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 444--446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 446--448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 450--452 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 450--452 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 452--454 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 452--454 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 454--456 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 454--456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 456--458 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 456--458 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 458--460 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 466--468 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 466--468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 468--470 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 468--470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 470--472 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 470--472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 472--474 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 472--474 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 474--476 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 474--476 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 476--478 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 476--478 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 481--483 []\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 483--485 []\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 485--487 []\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 487--489 []\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 489--491 []\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 491--493 []\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 493--495 []\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 495--497 []\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 497--499 []\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 499--501 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (9.46088pt too wide) in paragraph at lines 501--503 []\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 503--505 []\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 505--507 []\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 507--509 []\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 509--511 []\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 511--513 []\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 513--515 []\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 515--516 []\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 516--518 []\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 518--520 []\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 520--522 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier [318] Overfull \hbox (18.78084pt too wide) in paragraph at lines 522--524 []\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 524--526 []\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 526--528 []\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 528--530 []\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 530--532 []\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 532--534 []\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 534--536 []\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 536--538 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (15.09074pt too wide) in paragraph at lines 538--540 []\T1/pcr/m/n/10 describe() \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 540--542 []\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 542--544 []\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 544--546 []\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 546--548 []\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 548--550 []\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 550--552 []\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 552--554 []\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 554--556 []\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 557--558 []\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 558--559 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 558--559 \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 559--561 []\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 562--563 []\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 566--568 []\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 568--570 []\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 571--573 []\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 571--573 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 573--575 []\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 573--575 \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 575--577 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 578--580 []\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 580--582 []\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 589--590 []\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 590--592 []\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 592--594 []\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 594--596 []\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 605--607 []\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 607--609 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 609--610 []\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 612--614 []\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 614--616 []\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 616--617 []\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 617--619 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier [319] Overfull \hbox (6.39029pt too wide) in paragraph at lines 619--621 []\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 622--624 []\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 624--626 []\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 626--628 []\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 628--630 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 632--634 []\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 634--636 []\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 636--638 []\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 638--640 []\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 640--642 []\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 642--644 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 644--646 []\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 646--648 []\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 648--649 []\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 653--655 []\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 655--657 []\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 657--659 []\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 659--661 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 663--665 []\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 665--667 []\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 667--669 []\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 669--671 []\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 671--673 []\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 673--675 []\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 675--677 []\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 677--679 []\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 679--681 []\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 681--683 []\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 683--685 []\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 685--687 []\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 687--689 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Overfull \hbox (27.96046pt too wide) in paragraph at lines 693--695 []\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 695--697 []\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 697--699 []\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 699--701 []\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 701--703 []\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 703--705 []\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 705--707 []\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 707--709 []\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 709--711 []\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 711--712 []\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 712--714 []\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 714--716 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Overfull \hbox (80.44995pt too wide) in paragraph at lines 716--718 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 718--720 []\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 720--721 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch [320] Underfull \hbox (badness 10000) in paragraph at lines 723--724 []\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 728--730 []\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 730--731 []\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 731--733 []\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 733--735 []\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 735--737 []\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 737--739 []\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 741--743 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 743--745 []\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 745--747 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 745--747 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 747--749 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 747--749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 749--751 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 749--751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 751--753 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 751--753 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 753--755 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 753--755 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 755--757 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 755--757 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 757--759 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 757--759 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 759--761 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 759--761 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 761--763 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 761--763 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 763--765 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 763--765 \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 765--767 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 771--773 []\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 777--779 []\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 779--781 []\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 781--782 []\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 782--784 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 782--784 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 784--786 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 786--788 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 786--788 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 788--790 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 788--790 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 790--792 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 790--792 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 792--794 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 792--794 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 794--796 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 794--796 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 796--798 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 796--798 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 798--800 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 798--800 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 800--802 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 800--802 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 802--804 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 802--804 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 804--806 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 804--806 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- [321] Underfull \hbox (badness 10000) in paragraph at lines 806--808 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 806--808 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 808--810 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 808--810 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 810--812 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 812--814 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 816--818 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 816--818 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 818--820 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 818--820 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 820--822 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 822--824 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 822--824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 824--826 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 824--826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 826--828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 828--830 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 828--830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 830--832 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 830--832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 832--834 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 832--834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 834--836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 836--838 []\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 838--840 []\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 840--842 []\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 842--844 []\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 844--846 []\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 846--848 []\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 854--855 []\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 855--857 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 855--857 \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 857--859 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 857--859 \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 859--861 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 861--863 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 863--865 []\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 868--869 []\T1/pcr/m/n/10 label_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 869--870 []\T1/pcr/m/n/10 LabelLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 871--873 []\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 873--874 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 877--879 []\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 879--881 []\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 885--887 []\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 887--889 []\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 889--891 []\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 891--893 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor [322] Overfull \hbox (9.60025pt too wide) in paragraph at lines 895--897 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\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 899--901 []\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 901--903 []\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 903--905 []\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 907--909 []\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 909--911 []\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 911--913 []\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 913--915 []\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 917--919 []\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 921--923 []\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 923--925 []\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 925--927 []\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 927--929 []\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 929--931 []\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 931--933 []\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 933--935 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\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 937--939 []\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 939--941 []\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 941--943 []\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 943--945 []\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 945--947 []\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 949--951 []\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 951--953 []\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 954--956 []\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 961--963 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 973--975 []\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 979--981 []\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 981--983 []\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 983--984 []\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 984--986 []\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 986--988 []\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 988--990 []\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 990--992 []\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 992--994 []\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 994--996 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor [323] Overfull \hbox (40.81021pt too wide) in paragraph at lines 996--998 []\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 998--1000 []\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 1000--1002 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1002--1004 []\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 1004--1006 []\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 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1016--1018 []\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 1018--1020 []\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 1020--1022 []\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 1022--1024 []\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 1024--1026 []\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 1026--1028 []\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 1028--1030 []\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 1030--1032 []\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 1032--1034 []\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 1034--1036 []\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 1036--1038 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (27.09074pt too wide) in paragraph at lines 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\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 1046--1048 []\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 1048--1050 []\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 1050--1052 []\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 1054--1056 []\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 1062--1064 []\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 1064--1065 []\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 1069--1071 []\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 1072--1073 []\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 1077--1079 []\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 1079--1081 []\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 1081--1083 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Underfull \hbox (badness 6927) in paragraph at lines 1087--1089 []\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 1089--1091 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns [324] Overfull \hbox (31.3796pt too wide) in paragraph at lines 1104--1106 []\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 1110--1112 []\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 1112--1114 []\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 1114--1116 []\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 1116--1118 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1126--1128 []\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 1128--1130 []\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 1130--1132 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1136--1138 []\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 1138--1140 []\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 1140--1142 []\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 1142--1143 []\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 1143--1144 []\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 1147--1149 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 \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 1149--1151 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1149--1151 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1151--1152 []\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 1152--1154 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 \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 1158--1160 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1158--1160 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1160--1162 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1160--1162 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1162--1164 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1162--1164 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1164--1166 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1166--1168 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1166--1168 \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 1168--1169 []\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 1169--1171 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1171--1173 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1173--1175 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1173--1175 \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 1175--1177 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 \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 1179--1181 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1179--1181 \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 1181--1183 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1183--1184 []\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 1184--1186 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1186--1188 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1186--1188 \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 1188--1190 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1188--1190 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), [325] Underfull \hbox (badness 10000) in paragraph at lines 1190--1192 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1190--1192 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1192--1194 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1194--1195 []\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 1195--1197 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1195--1197 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1197--1199 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1197--1199 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1199--1201 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1201--1203 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1201--1203 \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 1203--1205 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1203--1205 \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 1205--1207 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1207--1208 []\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 1208--1209 []\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 1209--1211 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \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 1211--1213 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \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 1213--1215 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1213--1215 \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 1215--1217 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1215--1217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1222--1223 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1223--1225 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1223--1225 \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 1225--1226 []\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 1226--1228 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1232--1233 []\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 1233--1235 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1235--1237 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1235--1237 \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 1237--1239 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1237--1239 \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 1239--1241 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 \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 1241--1243 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1243--1244 []\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 1248--1249 []\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 1251--1253 []\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 1256--1258 []\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 1258--1260 []\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 1260--1262 []\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 1262--1264 []\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 1264--1266 []\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 1266--1268 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier [326] Overfull \hbox (21.46036pt too wide) in paragraph at lines 1268--1270 []\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 1270--1272 []\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 1272--1274 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1274--1276 []\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 1276--1278 []\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 1278--1280 []\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 1280--1282 []\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 1282--1284 []\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 1284--1286 []\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 1286--1288 []\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 1288--1290 []\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 1290--1292 []\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 1292--1294 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1294--1296 []\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 1296--1298 []\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 1298--1300 []\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 1300--1302 []\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 1302--1304 []\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 1304--1306 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1307--1308 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1308--1310 []\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 1310--1312 []\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 1312--1314 []\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 1314--1316 []\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 1316--1318 []\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 1318--1320 []\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 1320--1322 []\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 1322--1324 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1324--1326 []\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 1326--1328 []\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 1328--1330 []\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 1330--1332 []\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 1332--1334 []\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 1334--1336 []\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 1336--1338 []\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 1338--1340 []\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 1340--1342 []\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 1342--1344 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1344--1346 []\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 1346--1348 []\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 1348--1350 []\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 1350--1352 []\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 1352--1354 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (16.1225pt too wide) in paragraph at lines 1354--1356 []\T1/pcr/m/n/10 print_objective_names_allowed_in_automl() Overfull \hbox (9.96046pt too wide) in paragraph at lines 1356--1358 []\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 1358--1360 []\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 1360--1362 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1362--1364 []\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 1364--1366 []\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 1366--1368 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1370--1371 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner [327] Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 []\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 1379--1381 []\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 1388--1390 []\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 1390--1392 []\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 1392--1393 []\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 1393--1394 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1394--1395 []\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 1399--1400 []\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 1400--1402 []\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 1402--1404 []\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 1406--1407 []\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 1407--1409 []\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 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1417--1419 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1419--1420 []\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 1420--1422 []\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 1422--1424 []\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 1424--1426 []\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 1426--1427 []\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 1427--1429 []\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 1429--1431 []\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 1432--1434 []\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 1436--1438 []\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 1440--1442 []\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 1442--1444 []\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 1444--1446 []\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 1446--1448 []\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 1448--1450 []\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 1450--1452 []\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 1452--1454 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\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 1456--1458 []\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 1458--1459 []\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 1459--1461 []\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 1461--1463 []\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 1463--1465 []\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 1467--1469 []\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 1469--1471 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline [328] Underfull \hbox (badness 10000) in paragraph at lines 1474--1475 []\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 1479--1481 []\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 1481--1483 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass Overfull \hbox (9.39989pt too wide) in paragraph at lines 1483--1485 []\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 1493--1494 []\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 1494--1495 []\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 1499--1500 []\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 1502--1504 []\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 1504--1505 []\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 1508--1509 []\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 1514--1515 []\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 1515--1516 []\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 1516--1518 []\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 1518--1519 []\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 1523--1525 []\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 1525--1526 []\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 1526--1528 []\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 1528--1530 []\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 1530--1532 []\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 1532--1534 []\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 1537--1538 []\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 1538--1539 []\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 1541--1542 []\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 1548--1550 []\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 1550--1552 []\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 1552--1554 []\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 1554--1556 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1554--1556 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier [329] Underfull \hbox (badness 10000) in paragraph at lines 1556--1558 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1556--1558 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1558--1560 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1558--1560 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1560--1562 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1560--1562 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1562--1564 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1562--1564 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1564--1566 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1564--1566 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1566--1568 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1566--1568 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1568--1570 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1568--1570 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1570--1572 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1570--1572 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1572--1574 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1572--1574 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1574--1576 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1574--1576 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1576--1578 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1576--1578 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1578--1580 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1578--1580 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1580--1582 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1580--1582 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1582--1584 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1582--1584 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1587--1588 []\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 1588--1590 []\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 1590--1592 []\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 1592--1594 []\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 1594--1596 []\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 1596--1598 []\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 1598--1600 []\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 1600--1602 []\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 1602--1604 []\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 1604--1606 []\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 1606--1608 []\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 1608--1610 []\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 1610--1612 []\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 1612--1614 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Underfull \hbox (badness 10000) in paragraph at lines 1620--1621 []\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 1623--1625 []\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 1625--1627 []\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 1627--1629 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (17.19112pt too wide) in paragraph at lines 1629--1631 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. LabelLeakageDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1631--1633 []\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 1633--1635 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 \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 1637--1639 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1637--1639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1639--1640 []\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 1641--1642 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro [330] Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 \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 1644--1646 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1646--1648 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1646--1648 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1648--1650 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1648--1650 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1650--1652 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1655--1656 []\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 1656--1657 []\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 1659--1660 []\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 1662--1664 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1662--1664 \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 1664--1666 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1666--1667 []\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 1667--1668 []\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 1669--1671 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1669--1671 \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 1671--1673 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1671--1673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1673--1674 []\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 1674--1675 []\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 1675--1677 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1675--1677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1677--1679 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1677--1679 \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 1679--1680 []\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 1680--1682 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1680--1682 \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 1682--1684 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1682--1684 \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 1684--1686 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1687--1688 []\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 1688--1690 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1688--1690 \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 1692--1694 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1692--1694 \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 1694--1696 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1694--1696 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1703--1705 []\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 1705--1706 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [331]) (./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 (335 pages, 1723448 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.out' 'feature-labs-inc-evalml.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.600 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.600 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] [15] Overfull \vbox (0.68346pt too high) detected at line 1459 [16] [17] [18] [19] [20] [21] [22] [23] [24] Chapter 4. [25] [26] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2468 ...]{{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.2468 ...]{{keyboard_interrupt_demo_updated}.gif} [27] [28] [29] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [30] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [31] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [32] Underfull \vbox (badness 10000) detected at line 2939 Overfull \vbox (2.68169pt too high) detected at line 2939 [33] [34] Underfull \hbox (badness 10000) in paragraph at lines 3004--3005 []\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 , [35] [36] Underfull \vbox (badness 10000) detected at line 3205 Overfull \vbox (2.68169pt too high) detected at line 3205 [37] [38] [39] [40] [41] [42] [43] [44] Underfull \hbox (badness 10000) in paragraph at lines 3761--3762 \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 , [45] [46] [47] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4020 ...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.4020 ...xdimen]{{user_guide_pipelines_16_0}.svg} [48] [49] [50] [51] [52] [53] Overfull \vbox (5.63934pt too high) detected at line 4695 [54] Underfull \vbox (badness 10000) detected at line 4695 Overfull \vbox (13.68169pt too high) detected at line 4695 [55] [56] Underfull \vbox (badness 10000) detected at line 4785 [57] [58] Underfull \vbox (badness 10000) detected at line 4929 Overfull \vbox (2.68169pt too high) detected at line 4929 [59] [60] Underfull \hbox (badness 10000) in paragraph at lines 4991--4992 \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 [61] [62] [63] [64] Chapter 5. [65] [66] [67] Underfull \hbox (badness 10000) in paragraph at lines 5545--5545 []\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 5545--5545 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=Non e\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 5545--5545 \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 5545--5545 \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 5545--5545 \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 5545--5545 \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 , \T1/ptm/m/it/10 op-ti - Overfull \hbox (24.22249pt too wide) in paragraph at lines 5592--5593 []|[][]\T1/pcr/m/sl/10 print_objective_names_allowed_in_automl[][]| Underfull \hbox (badness 10000) in paragraph at lines 5614--5614 []\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_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5614--5614 \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 5614--5614 \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 5614--5614 \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 10000) in paragraph at lines 5614--5614 \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 , [68 <./inheritance-1e18c30afd35d4935cafa45952c93c34ddc1adae.pdf>] Underfull \hbox (badness 7869) in paragraph at lines 5651--5655 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [69] [70] [71] Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5963--5963 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [72 <./inheritance-e1dc270797989ccb29935590c5b95c8455ecfc23.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6114--6114 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- [73 <./inheritance-cb505c75532111120300ceec2023c4acc3912847.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6158--6158 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_pi pelines=None\T1/ptm/m/n/10 , [74] Underfull \hbox (badness 5908) in paragraph at lines 6306--6308 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [75 <./inheritance-c9c02a07e954a88c0bf8ff03dc9a3f8e07c64ef1.pdf>] [76] [77] [78 <./inheritance-ef9a78b29272c0d632e0db38e101c4b3d5cfc3e5.pdf>] [79] Underfull \hbox (badness 10000) in paragraph at lines 6831--6833 []\T1/ptm/m/n/10 by sorted(set(y)) [80] [81] [82 <./inheritance-30e6f7d2374080246a40d9b962a73732b02075a6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7210--7212 []\T1/ptm/m/n/10 by sorted(set(y)) [83] Overfull \hbox (6.95404pt too wide) in paragraph at lines 7281--7281 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [84] Underfull \hbox (badness 10000) in paragraph at lines 7430--7430 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [85 <./inheritance-43bdbc8f20a7302bb014aac4cd9f7913a31ceaef.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7589--7591 []\T1/ptm/m/n/10 by sorted(set(y)) [86] Overfull \hbox (30.95404pt too wide) in paragraph at lines 7660--7660 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [87] [88] [89 <./inheritance-c0afc274f6b70cb750e33621ea7a9102f9c27348.pdf>] [90] [91] ! Dimension too large. \wd \@tempboxa l.8197 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} ! Dimension too large. b l.8197 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} [92 <./inheritance-6f3b2275fdce57243ef2e5bab0c3aef495856f0b.pdf>] [93] Underfull \hbox (badness 10000) in paragraph at lines 8455--8457 []\T1/ptm/m/n/10 by sorted(set(y)) [94] ! Dimension too large. \wd \@tempboxa l.8671 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} ! Dimension too large. b l.8671 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} [95] [96 <./inheritance-6fdb41a1217c671bfe68e7ab05ac74d9662f94fd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 8924--8926 []\T1/ptm/m/n/10 by sorted(set(y)) [97] [98] ! Dimension too large. \wd \@tempboxa l.9140 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} ! Dimension too large. b l.9140 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} [99 <./inheritance-cf06fd64f927f0866bf4f5463e7cf87f21ecce82.pdf>] [100] Underfull \hbox (badness 10000) in paragraph at lines 9398--9400 []\T1/ptm/m/n/10 by sorted(set(y)) [101] [102] ! Dimension too large. \wd \@tempboxa l.9614 ...9fd8f83c30ffb7f39b742afd3323fbc8774.pdf} ! Dimension too large. b l.9614 ...9fd8f83c30ffb7f39b742afd3323fbc8774.pdf} Underfull \hbox (badness 10000) in paragraph at lines 9618--9618 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [103 <./inheritance-c83ce9fd8f83c30ffb7f39b742afd3323fbc8774.pdf>] [104] Underfull \hbox (badness 10000) in paragraph at lines 9867--9869 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 9938--9938 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [105] [106] [107 <./inheritance-626b364d1301d7fd46578c124286b3dd895b2423.pdf>] [108] [109] [110] Underfull \hbox (badness 10000) in paragraph at lines 10554--10554 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [111 <./inheritance-85c49b58be816edfd1f3e23fbf93004a41b913d1.pdf>] [112] Overfull \hbox (18.95404pt too wide) in paragraph at lines 10861--10861 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [113] [114] Underfull \hbox (badness 10000) in paragraph at lines 11091--11091 []\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 11091--11091 \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 , Underfull \hbox (badness 10000) in paragraph at lines 11150--11150 []\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 , [115 <./inheritance-f487f7257db490cd12fcb79f102190e3106f95d4.pdf>] [116] Underfull \hbox (badness 10000) in paragraph at lines 11282--11282 []\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 11282--11282 \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 , [117 <./inheritance-021f4dd9c4df0c6d79e2670d0604cf002005c056.pdf>] [118] Underfull \hbox (badness 10000) in paragraph at lines 11548--11548 []\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 , [119 <./inheritance-36c72da075e84c783f4071052fc8408a1ab6f3de.pdf>] [120] [121] Underfull \hbox (badness 10000) in paragraph at lines 11854--11854 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , ! Dimension too large. \wd \@tempboxa l.11967 ...b9596c3adb25418e9bc3aca3f493649286.pdf} ! Dimension too large. b l.11967 ...b9596c3adb25418e9bc3aca3f493649286.pdf} Underfull \hbox (badness 10000) in paragraph at lines 11971--11971 []\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 , [122 <./inheritance-fca7a4b9596c3adb25418e9bc3aca3f493649286.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 12050--12052 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [123] [124] ! Dimension too large. \wd \@tempboxa l.12284 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} ! Dimension too large. b l.12284 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12288--12288 []\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 12367--12369 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [125 <./inheritance-54e057ebf33d8169cae4eb13364dd9d150ffc09c.pdf>] [126] ! Dimension too large. \wd \@tempboxa l.12601 ...68f43483a177df3d97f31bf9b996977758.pdf} ! Dimension too large. b l.12601 ...68f43483a177df3d97f31bf9b996977758.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 \T1/ptm/m/it/10 drop=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 12605--12605 \T1/ptm/m/it/10 dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [127 <./inheritance-e57eeb68f43483a177df3d97f31bf9b996977758.pdf>] [128] [129] ! Dimension too large. \wd \@tempboxa l.12938 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} ! Dimension too large. b l.12938 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12942--12942 []\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 12942--12942 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [130 <./inheritance-8338936377eb6c52dd1e302cda06dee3a30d7f4b.pdf>] Overfull \hbox (5.61217pt too wide) in paragraph at lines 13066--13066 []\T1/ptm/m/it/10 impute_strategies=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 de-fau lt_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 7504) in paragraph at lines 13071--13075 []\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, [131] [132] ! Dimension too large. \wd \@tempboxa l.13270 ...62412556152e04415250ae9ebeeb97ab71.pdf} ! Dimension too large. b l.13270 ...62412556152e04415250ae9ebeeb97ab71.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13274--13274 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13274--13274 \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 13274--13274 \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 13274--13274 \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 , [133 <./inheritance-1bd84e62412556152e04415250ae9ebeeb97ab71.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13398--13398 []\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 , [134] [135] Overfull \hbox (62.0307pt too wide) in paragraph at lines 13574--13576 [] ! Dimension too large. \wd \@tempboxa l.13605 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} ! Dimension too large. b l.13605 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13609--13609 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13609--13609 \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 , [136 <./inheritance-e4eeacd70f8e119fe715c7a7b33e3a4875175a57.pdf>] [137] Overfull \hbox (62.0307pt too wide) in paragraph at lines 13900--13902 [] [138] ! Dimension too large. \wd \@tempboxa l.13931 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} ! Dimension too large. b l.13931 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} [139 <./inheritance-783f43e35a00a3a1072d51a3e2bb993e953ab96d.pdf>] [140] ! Dimension too large. \wd \@tempboxa l.14243 ...09315650d1a7865965715098101afdb8a5.pdf} ! Dimension too large. b l.14243 ...09315650d1a7865965715098101afdb8a5.pdf} Overfull \hbox (19.00412pt too wide) in paragraph at lines 14247--14247 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14247--14247 \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 14247--14247 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [141 <./inheritance-e6d10a09315650d1a7865965715098101afdb8a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14376--14376 []\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 14376--14376 \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 14376--14376 \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 , [142] [143] ! Dimension too large. \wd \@tempboxa l.14576 ...82bfc926d25216b2a75c4269183a5093c6.pdf} ! Dimension too large. b l.14576 ...82bfc926d25216b2a75c4269183a5093c6.pdf} Overfull \hbox (25.00412pt too wide) in paragraph at lines 14580--14580 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14580--14580 \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 14580--14580 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [144 <./inheritance-f768dc82bfc926d25216b2a75c4269183a5093c6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14709--14709 []\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 14709--14709 \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 14709--14709 \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 , [145] [146] ! Dimension too large. \wd \@tempboxa l.14909 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} ! Dimension too large. b l.14909 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14913--14913 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [147 <./inheritance-86ffa1890ef3eb1c7d1898d642a71b7d626981ee.pdf>] [148] ! Dimension too large. \wd \@tempboxa l.15223 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} ! Dimension too large. b l.15223 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} [149 <./inheritance-c389f1735004539501381a1bdf4abbf7e4d62ab8.pdf>] [150] [151] ! Dimension too large. \wd \@tempboxa l.15546 ...e37cbdb7720f90b05a56545668be85270a.pdf} ! Dimension too large. b l.15546 ...e37cbdb7720f90b05a56545668be85270a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 15550--15550 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [152 <./inheritance-c617d4e37cbdb7720f90b05a56545668be85270a.pdf>] [153] ! Dimension too large. \wd \@tempboxa l.15937 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} ! Dimension too large. b l.15937 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} [154] Underfull \hbox (badness 10000) in paragraph at lines 15941--15941 []\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 15941--15941 \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 16089--16089 []\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- [155 <./inheritance-44d810727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf>] [156] ! Dimension too large. \wd \@tempboxa l.16261 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} ! Dimension too large. b l.16261 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16265--16265 []\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 16265--16265 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16265--16265 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [157 <./inheritance-f7deef258c28bc95d279b46640f5e38f28e48ba7.pdf>] [158] ! Dimension too large. \wd \@tempboxa l.16572 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} ! Dimension too large. b l.16572 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} [159] Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 16576--16576 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16576--16576 \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 16711--16711 []\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 16711--16711 \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 , [160 <./inheritance-12cb2cf06b5c4e0fc80056aefe0421510f1594e4.pdf>] [161] ! Dimension too large. \wd \@tempboxa l.16883 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} ! Dimension too large. b l.16883 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16887--16887 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16887--16887 \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 , [162 <./inheritance-10b1e18b471febf9f8fe93e1193db25ea8da169e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17022--17022 []\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- [163] ! Dimension too large. \wd \@tempboxa l.17194 ...9828e64e8cfabce656c3e60374e0038c72.pdf} ! Dimension too large. b l.17194 ...9828e64e8cfabce656c3e60374e0038c72.pdf} [164] Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17198--17198 \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 17343--17343 \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 , [165 <./inheritance-1fb17c9828e64e8cfabce656c3e60374e0038c72.pdf>] [166] ! Dimension too large. \wd \@tempboxa l.17515 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} ! Dimension too large. b l.17515 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17519--17519 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [167 <./inheritance-972c69d940b389fa3396e584ff3afe7fb20275cc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17654--17654 []\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 , \T1/ptm/m/it/10 ran- [168] ! Dimension too large. \wd \@tempboxa l.17826 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} ! Dimension too large. b l.17826 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} [169] Underfull \hbox (badness 10000) in paragraph at lines 17830--17830 []\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 17830--17830 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17830--17830 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [170 <./inheritance-9b1c24ca1b95dd3da5ed129a3639fba2a8273408.pdf>] [171] ! Dimension too large. \wd \@tempboxa l.18147 ...50b69abde46857ee001e566cf1650d5c78.pdf} ! Dimension too large. b l.18147 ...50b69abde46857ee001e566cf1650d5c78.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18151--18151 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [172 <./inheritance-7ba48e50b69abde46857ee001e566cf1650d5c78.pdf>] [173] [174] ! Dimension too large. \wd \@tempboxa l.18536 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} ! Dimension too large. b l.18536 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18540--18540 []\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 18540--18540 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- [175 <./inheritance-5cd67408660c74aa6bd8dd594916bcfb93426e43.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18688--18688 []\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- [176] ! Dimension too large. \wd \@tempboxa l.18860 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} ! Dimension too large. b l.18860 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18864--18864 []\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 18864--18864 \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 18864--18864 \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 , [177 <./inheritance-1aabcff00496e1680b24dc93e964049a0dfe6e8d.pdf>] [178] [179] ! Dimension too large. \wd \@tempboxa l.19171 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} ! Dimension too large. b l.19171 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19175--19175 []\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 19175--19175 \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- [180 <./inheritance-e4c37b6ec41e33e162c6c28509eead7a0fd2e98b.pdf>] [181] ! Dimension too large. \wd \@tempboxa l.19482 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} ! Dimension too large. b l.19482 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 19486--19486 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [182 <./inheritance-5a38f53ef6334e9c7361cd61656ed9b25064f89d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19621--19621 []\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 19621--19621 \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 , [183] [184] ! Dimension too large. \wd \@tempboxa l.19793 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} ! Dimension too large. b l.19793 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19797--19797 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19797--19797 \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 19797--19797 \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 , [185 <./inheritance-6ecb00b018fc4e79dbf57f4caf352e6e0b613797.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19932--19932 []\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- [186] ! Dimension too large. \wd \@tempboxa l.20104 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} ! Dimension too large. b l.20104 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20108--20108 []\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 20108--20108 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20108--20108 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [187 <./inheritance-b6206847048c1dff2af5d8a008dc2e0a60d99099.pdf>] [188] [189] ! Dimension too large. \wd \@tempboxa l.20425 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} ! Dimension too large. b l.20425 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20429--20429 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [190 <./inheritance-f58b8113ced0e7ec590912a80d708cdd64c63af7.pdf>] [191] [192] Underfull \hbox (badness 10000) in paragraph at lines 20832--20832 []\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- Underfull \hbox (badness 10000) in paragraph at lines 20863--20863 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [193] [194] Underfull \hbox (badness 10000) in paragraph at lines 21008--21008 []\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 21008--21008 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 21039--21039 []\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 21039--21039 \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 21072--21072 \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 21072--21072 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 21187--21187 []\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 21187--21187 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Overfull \hbox (9.96457pt too wide) in paragraph at lines 21259--21259 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 21259--21259 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [197] Overfull \hbox (15.96457pt too wide) in paragraph at lines 21300--21300 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 21300--21300 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [198] Overfull \hbox (94.49048pt too wide) in paragraph at lines 21330--21332 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 21346--21346 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 21346--21346 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [199] Overfull \hbox (102.73972pt too wide) in paragraph at lines 21384--21387 [] [200 <./inheritance-07c1605e071dab6b69f3ce4747d98a87707cfa44.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 21513--21515 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 21533--21533 [] Underfull \hbox (badness 10000) in paragraph at lines 21533--21533 [201] Overfull \hbox (27.03467pt too wide) in paragraph at lines 21676--21676 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 21676--21676 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 21676--21676 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 21691--21693 [] Underfull \hbox (badness 10000) in paragraph at lines 21710--21710 []\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 , [202 <./inheritance-9ed9e93988ef52b829df5d142118754a9b323b5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21738--21738 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21738--21738 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 21739--21739 [] Underfull \hbox (badness 10000) in paragraph at lines 21739--21739 [203] Overfull \hbox (51.03467pt too wide) in paragraph at lines 21899--21899 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 21899--21899 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 21899--21899 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [204 <./inheritance-af479a5adeca365503c354ee58bd45a89f5cb882.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 21914--21916 [] Underfull \hbox (badness 10000) in paragraph at lines 21933--21933 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 21933--21933 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 21933--21933 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 21934--21934 [] Underfull \hbox (badness 10000) in paragraph at lines 21934--21934 [205] Underfull \hbox (badness 10000) in paragraph at lines 22066--22066 []\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 22081--22083 [] Underfull \hbox (badness 10000) in paragraph at lines 22100--22100 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 22101--22101 [] Underfull \hbox (badness 10000) in paragraph at lines 22101--22101 [206 <./inheritance-d1aea97fb46dc2e14443a25bf91b1064eb23dd02.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22220--22220 []\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 , [207 <./inheritance-37ae68f2217773e86042770dfe4589b0b1feef6f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22330--22332 [] [208] [209] [210 <./inheritance-acafd40fec2fed6a4b735783d2ee7f4ac9c19b9c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22596--22598 [] [211] Underfull \hbox (badness 10000) in paragraph at lines 22760--22760 []\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 , [212 <./inheritance-983079748ef7532b70b5ba7a08be9e750a99ee85.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22854--22854 []\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 22869--22871 [] [213] [214] [215] Underfull \hbox (badness 10000) in paragraph at lines 23235--23235 []\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 23250--23252 [] [216 <./inheritance-ec1479676a57e8519c9eb8f387640b150f34caf4.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23298--23298 [] Underfull \hbox (badness 10000) in paragraph at lines 23298--23298 [217] ! Dimension too large. \wd \@tempboxa l.23403 ...6795fcd491d082224bc7fb747a910411e3.pdf} ! Dimension too large. b l.23403 ...6795fcd491d082224bc7fb747a910411e3.pdf} Underfull \hbox (badness 10000) in paragraph at lines 23456--23456 []\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 23471--23473 [] [218 <./inheritance-e0055e6795fcd491d082224bc7fb747a910411e3.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23491--23491 [] Underfull \hbox (badness 10000) in paragraph at lines 23491--23491 [219 <./inheritance-4c48a4eef2a4d40da4258ccd38c5d2ab1867e9e9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23646--23648 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23694--23694 [] Underfull \hbox (badness 10000) in paragraph at lines 23694--23694 [220] [221] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23867--23869 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 23887--23887 [] Underfull \hbox (badness 10000) in paragraph at lines 23887--23887 [222 <./inheritance-e1caeceeef3a69f09556727470cefabd2f3db152.pdf>] [223 <./inhe ritance-24c8292409e1445cdb6845a52382212d7e92c01e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24032--24034 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24052--24052 [] Underfull \hbox (badness 10000) in paragraph at lines 24052--24052 [224] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24197--24199 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24217--24217 [] Underfull \hbox (badness 10000) in paragraph at lines 24217--24217 [225 <./inheritance-5ab894cffd2fa556ae008811ab2180a77bad0f28.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 24357--24357 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [226 <./inheritance-c1084573efaa43564fa1ae07f46d25cc8f963757.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24372--24374 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24420--24420 [] Underfull \hbox (badness 10000) in paragraph at lines 24420--24420 [227] ! Dimension too large. \wd \@tempboxa l.24525 ...7879159773146f810da5d5980ce6282233.pdf} ! Dimension too large. b l.24525 ...7879159773146f810da5d5980ce6282233.pdf} [228 <./inheritance-0997337879159773146f810da5d5980ce6282233.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 24578--24578 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 24578--24578 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 24578--24578 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 24593--24595 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24613--24613 [] Underfull \hbox (badness 10000) in paragraph at lines 24613--24613 [229] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24768--24770 [] [230 <./inheritance-8758bd0939b729a22a0252b57e36eedfb539fd07.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24816--24816 [] Underfull \hbox (badness 10000) in paragraph at lines 24816--24816 [231] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24989--24991 [] [232 <./inheritance-9b7f63219afca5e90c0726d96b6a998074c6a421.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25009--25009 [] Underfull \hbox (badness 10000) in paragraph at lines 25009--25009 [233 <./inheritance-9f8ecc7da295adf9c012b4fdbcb3f8a3130de2f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25154--25156 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25174--25174 [] Underfull \hbox (badness 10000) in paragraph at lines 25174--25174 [234] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25319--25321 [] [235 <./inheritance-ed58abc1c06f54edc851bc2bde703b2e6309d862.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25339--25339 [] Underfull \hbox (badness 10000) in paragraph at lines 25339--25339 [236 <./inheritance-fa116752dcae6d5557b39b7b054021fa94048e51.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25494--25496 [] [237] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25542--25542 [] Underfull \hbox (badness 10000) in paragraph at lines 25542--25542 [238] Underfull \hbox (badness 10000) in paragraph at lines 25700--25700 []\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 25715--25717 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25735--25735 [] Underfull \hbox (badness 10000) in paragraph at lines 25735--25735 [239 <./inheritance-f5288b1dc0d3c0c5d26ad685194e4c34e681000a.pdf>] [240 <./inhe ritance-660a3479d904c386ef19366214bac9b61d45e64b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25890--25892 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25938--25938 [] Underfull \hbox (badness 10000) in paragraph at lines 25938--25938 [241] [242 <./inheritance-1bb81c65d28feccfe3174d5bc621c556342230d7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26111--26113 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26131--26131 [] Underfull \hbox (badness 10000) in paragraph at lines 26131--26131 [243] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26286--26288 [] [244 <./inheritance-0a82146073bf0cb6f4ffb1a1bbfc6b0b93b9ce32.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26334--26334 [] Underfull \hbox (badness 10000) in paragraph at lines 26334--26334 [245] Underfull \hbox (badness 10000) in paragraph at lines 26492--26492 []\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 26507--26509 [] [246 <./inheritance-c6fe7a9e1ccce3dd2db3e89f4907d83734efaa28.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26527--26527 [] Underfull \hbox (badness 10000) in paragraph at lines 26527--26527 [247 <./inheritance-ac7be532b2cdc0b1842f38b464b6d0942c6d5702.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26657--26657 []\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 26672--26674 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26692--26692 [] Underfull \hbox (badness 10000) in paragraph at lines 26692--26692 [248] Underfull \hbox (badness 10000) in paragraph at lines 26822--26822 []\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 26837--26839 [] [249 <./inheritance-3d24e0619b3facedc2f2547c9917f2719cc4e1e0.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26857--26857 [] Underfull \hbox (badness 10000) in paragraph at lines 26857--26857 [250 <./inheritance-354924292793055163636a33f56479aefb231368.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27012--27014 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27060--27060 [] Underfull \hbox (badness 10000) in paragraph at lines 27060--27060 [251] [252] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27233--27235 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27253--27253 [] Underfull \hbox (badness 10000) in paragraph at lines 27253--27253 [253 <./inheritance-468bde00b99ea354efb5a7810fac41db6069fb5e.pdf>] [254 <./inhe ritance-dad27b24eaaae2d6ed8da7cfd9ef96062c303124.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27398--27400 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27418--27418 [] Underfull \hbox (badness 10000) in paragraph at lines 27418--27418 [255] Underfull \hbox (badness 10000) in paragraph at lines 27548--27548 []\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 27563--27565 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27583--27583 [] Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 [256 <./inheritance-36f033894018f28005f000e716a8e91edb6821a2.pdf>] [257 <./inhe ritance-88c087e0b0c8cf04d6d68f223cd77d8eb19c6112.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27796--27798 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27816--27816 [] Underfull \hbox (badness 10000) in paragraph at lines 27816--27816 [258] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27961--27963 [] [259 <./inheritance-573a98b5538bb382f0c340507beffabe55206907.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27981--27981 [] Underfull \hbox (badness 10000) in paragraph at lines 27981--27981 [260 <./inheritance-9c8edc5a96ae550aec0bdf3c480c16441986fe81.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28126--28128 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28146--28146 [] Underfull \hbox (badness 10000) in paragraph at lines 28146--28146 [261] Underfull \hbox (badness 10000) in paragraph at lines 28278--28278 []\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 28293--28295 [] [262 <./inheritance-0610dba8b00437887923347e52070007820b9b74.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28313--28313 [] Underfull \hbox (badness 10000) in paragraph at lines 28313--28313 [263 <./inheritance-0aa1e63f6b1fbda5d575c91a8fea9cee78fa2a6b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28458--28460 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28478--28478 [] Underfull \hbox (badness 10000) in paragraph at lines 28478--28478 [264] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28623--28625 [] [265 <./inheritance-45cd3b808dbcf97606efe92272453816698fc213.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28643--28643 [] Underfull \hbox (badness 10000) in paragraph at lines 28643--28643 [266 <./inheritance-6b580afbd560f64ab65a227b35d3832ab50ce7f8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28788--28790 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28808--28808 [] Underfull \hbox (badness 10000) in paragraph at lines 28808--28808 [267] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28953--28955 [] [268 <./inheritance-ba517e93eedf1d18ade17888fb9f4c330277dc96.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28973--28973 [] Underfull \hbox (badness 10000) in paragraph at lines 28973--28973 [269 <./inheritance-32d2de89f420ff5ea5bda37c2c266e21af437526.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29105--29105 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 29105--29105 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 29105--29105 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 29120--29122 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29140--29140 [] Underfull \hbox (badness 10000) in paragraph at lines 29140--29140 [270] [271 <./inheritance-33e25cd8d77f4fd7629c72286867cf47477b9e50.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29360--29362 []|\T1/ptm/m/n/10 Handles model_family by ei-ther re-turn-ing the Underfull \hbox (badness 10000) in paragraph at lines 29360--29362 \T1/ptm/m/n/10 Mod-elFam-ily or con-vert-ing from a str :param [272 <./inheritance-b4ccc6d2b69ea8a8ef821207dc8f874c22059c02.pdf>] [273 <./inhe ritance-35d8976718f88bce869791a7b18f94ed40bd71a9.pdf>] [274 <./inheritance-b892 6b63cc15d28543ac6c6186e6de597d3d14c5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29715--29715 []\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- [275 <./inheritance-d52265ce6b70bacb3efbc222bc74bfcbbd9d9a1b.pdf>] [276] Underfull \hbox (badness 10000) in paragraph at lines 29870--29870 []\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 29870--29870 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 with_replacement=Fa lse\T1/ptm/m/n/10 , \T1/ptm/m/it/10 re-place- Underfull \hbox (badness 10000) in paragraph at lines 29927--29927 []\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 , [277 <./inheritance-9dadd36a2857e3e3437928a0f69d7d6f1694299c.pdf>] [278] [279 <./inheritance-ce2cc7e8eb49e1288902b4442288f97c01da4366.pdf>] Overfull \vbox (13.58904pt too high) detected at line 30272 [280 <./inheritance-6e41147707b17113abbbffee147c964814b1cb47.pdf>] [281 <./inhe ritance-c5c3fa11c957f0f5db50f9456b56f49302c8185b.pdf>] [282 <./inheritance-3dd6 ad1c60d486768ddbf033054ae0f7a5678668.pdf>] [283 <./inheritance-ccede6c85c8b0140 1fa046af173441f461230c07.pdf>] [284 <./inheritance-0e5c77bd006b3e10842689dab93e 3f80fa0409bc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30748--30750 []\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 [285 <./inheritance-eb4eb5111f3e41da6fbf474eca76afb764596017.pdf>] [286] [287 <./inheritance-c3d86f6de8b1f55b76372b187e4b9c2f36e10589.pdf>] [288 <./inhe ritance-7466712241d9b0593b81f30bcee4abc573667b63.pdf>] [289 <./inheritance-9d10 608233a98760263ec81cac5b12a4933cb326.pdf>] [290 <./inheritance-583c8bc4f9e5d2e2 5113d5cd7e817631d23c4ff3.pdf> <./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf pdfTeX warning: pdflatex (file ./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [291 <./inheritance-9a70c345606d6bf40f5dce88eff55bfa0176008c.pdf>] [292] [293] [294] Chapter 6. [295] Underfull \hbox (badness 10000) in paragraph at lines 31752--31755 [] [296] [297] Overfull \hbox (41.08026pt too wide) in paragraph at lines 32022--32023 []\T1/ptm/m/n/10 Moved \T1/ptm/m/it/10 evalml.model_families.list_model_familie s \T1/ptm/m/n/10 to \T1/ptm/m/it/10 evalml.pipelines.components.allowed_model_f amilies [298] Underfull \hbox (badness 10000) in paragraph at lines 32086--32087 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to [299] [300] Underfull \hbox (badness 5374) in paragraph at lines 32356--32357 []\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 Underfull \hbox (badness 10000) in paragraph at lines 32362--32363 []\T1/ptm/m/n/10 Pipelines' and clas-si-fiers' \T1/pcr/m/n/10 feature_importanc es \T1/ptm/m/n/10 is re-named \T1/ptm/m/it/10 fea-ture_importance\T1/ptm/m/n/10 , [301] Underfull \hbox (badness 5403) in paragraph at lines 32397--32398 []\T1/ptm/m/n/10 Added precicion-recall curve met-rics and plot for bi-nary cla s-si-fi-ca-tion prob-lems in [302] [303] [304] [305] [306] Underfull \hbox (badness 8113) in paragraph at lines 32953--32954 []\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 32959--32960 []\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 [307] [308] [309] [310] [311] (./feature-labs-inc-evalml.ind [312] 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 Underfull \hbox (badness 10000) 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. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 25--26 []\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 28--30 []\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 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (17.19112pt 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. LabelLeakageDataCheck Overfull \hbox (7.95114pt 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. NoVarianceDataCheck Underfull \hbox (badness 6348) 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. OutliersDataCheck Underfull \hbox (badness 10000) in paragraph at lines 38--40 []\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 40--41 []\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 44--46 []\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 46--48 []\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 48--50 []\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 50--52 []\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 52--54 []\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 54--56 []\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 56--58 []\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 58--60 []\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 61--63 []\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 63--65 []\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 65--67 []\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 67--69 []\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 69--71 []\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 71--73 []\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 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt 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.ExtraTreesClassifier [313] Overfull \hbox (36.39029pt 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.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt 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.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 124--125 []\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 127--129 []\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 129--131 []\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 131--133 []\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 139--140 []\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 142--144 []\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 144--146 []\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 147--149 []\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 153--155 []\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 159--160 []\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 160--161 []\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 161--162 []\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 162--164 []\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 164--165 []\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 165--166 []\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 166--168 []\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 170--172 []\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 172--173 []\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 176--178 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 176--178 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 178--180 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 180--182 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 calculate_percent_difference() [314] Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 186--188 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 186--188 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class Underfull \hbox (badness 10000) in paragraph at lines 188--190 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 188--190 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 190--192 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 190--192 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 192--194 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 192--194 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 194--196 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 194--196 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class Underfull \hbox (badness 10000) in paragraph at lines 196--198 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 198--200 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 200--202 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 200--202 \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 202--204 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 202--204 \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 204--206 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 206--208 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 206--208 \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 208--210 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 210--212 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 210--212 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 212--214 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 212--214 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 214--216 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 216--218 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 216--218 \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 218--220 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 222--224 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 222--224 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 224--226 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 224--226 \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 226--228 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 228--230 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 228--230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 230--232 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 230--232 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 232--234 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 232--234 \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 234--236 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 234--236 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 236--238 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 236--238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class Underfull \hbox (badness 10000) in paragraph at lines 238--240 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 238--240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionWeighted class Underfull \hbox (badness 10000) in paragraph at lines 240--242 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 242--244 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 242--244 \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 244--246 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 246--248 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 248--250 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 248--250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 250--252 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 250--252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 252--254 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 252--254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 254--256 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 254--256 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 256--258 []\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 258--260 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [315] Underfull \hbox (badness 10000) in paragraph at lines 260--262 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 262--263 []\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 263--264 []\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 268--270 []\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 270--271 []\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 271--273 []\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 273--275 []\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 275--277 []\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 277--279 []\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 279--281 []\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 281--283 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 283--285 []\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 285--287 []\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 287--289 []\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 289--291 []\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 291--292 []\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 292--294 []\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 294--296 []\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 296--297 []\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 297--299 []\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 299--301 []\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 301--303 []\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 303--305 []\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 305--307 []\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 307--309 []\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 309--311 []\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 311--313 []\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 313--315 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) 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.TextFeaturizer Underfull \hbox (badness 10000) 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.Transformer Overfull \hbox (9.69035pt 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.XGBoostClassifier Overfull \hbox (11.13054pt 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.XGBoostRegressor Overfull \hbox (19.18016pt 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.MeanB aselineRegressionPipeline Overfull \hbox (2.73036pt 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.ModeB aselineBinaryPipeline Overfull \hbox (17.1799pt 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.ModeB aselineMulticlassPipeline Overfull \hbox (14.97968pt 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.Multi classClassificationPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 339--341 []\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 341--343 []\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 343--345 []\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 345--347 []\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 347--349 []\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 349--351 []\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 351--352 []\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 352--354 []\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 356--358 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 356--358 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline [316] Underfull \hbox (badness 10000) in paragraph at lines 358--360 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 358--360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 360--362 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 360--362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 362--364 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 362--364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 364--366 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 364--366 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 366--368 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 366--368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 368--370 []\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 370--372 []\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 372--374 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 374--376 []\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 376--378 []\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 378--380 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--387 []\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 389--391 []\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 391--393 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 391--393 \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 393--394 []\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 394--396 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 400--401 []\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 401--403 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 403--405 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 403--405 \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 405--407 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 405--407 \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 407--409 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 407--409 \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 411--412 []\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 412--414 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 414--416 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 416--418 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 416--418 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 418--420 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 418--420 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 420--422 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 420--422 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 422--424 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 422--424 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 424--426 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 424--426 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 426--428 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 426--428 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 428--430 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 428--430 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 430--432 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 430--432 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 432--434 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 432--434 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 434--436 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 434--436 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 436--438 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 436--438 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r [317] Underfull \hbox (badness 10000) in paragraph at lines 438--440 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 438--440 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 440--442 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 440--442 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 442--444 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 442--444 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 444--446 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 444--446 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 446--448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 448--450 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 448--450 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 450--452 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 450--452 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 452--454 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 452--454 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 454--456 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 454--456 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 456--458 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 456--458 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 458--460 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 460--462 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 464--466 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 464--466 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 466--468 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 466--468 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 468--470 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 468--470 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 470--472 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 470--472 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 472--474 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 472--474 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 474--476 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 474--476 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 476--478 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 476--478 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 481--483 []\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 483--485 []\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 485--487 []\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 487--489 []\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 489--491 []\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 491--493 []\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 493--495 []\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 495--497 []\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 497--499 []\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 499--501 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (9.46088pt too wide) in paragraph at lines 501--503 []\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 503--505 []\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 505--507 []\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 507--509 []\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 509--511 []\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 511--513 []\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 513--515 []\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 515--516 []\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 516--518 []\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 518--520 []\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 520--522 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier [318] Overfull \hbox (18.78084pt too wide) in paragraph at lines 522--524 []\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 524--526 []\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 526--528 []\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 528--530 []\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 530--532 []\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 532--534 []\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 534--536 []\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 536--538 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (15.09074pt too wide) in paragraph at lines 538--540 []\T1/pcr/m/n/10 describe() \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 540--542 []\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 542--544 []\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 544--546 []\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 546--548 []\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 548--550 []\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 550--552 []\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 552--554 []\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 554--556 []\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 557--558 []\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 558--559 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 558--559 \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 559--561 []\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 562--563 []\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 566--568 []\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 568--570 []\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 571--573 []\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 571--573 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 573--575 []\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 573--575 \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 575--577 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 578--580 []\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 580--582 []\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 589--590 []\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 590--592 []\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 592--594 []\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 594--596 []\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 605--607 []\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 607--609 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 609--610 []\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 612--614 []\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 614--616 []\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 616--617 []\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 617--619 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier [319] Overfull \hbox (6.39029pt too wide) in paragraph at lines 619--621 []\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 622--624 []\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 624--626 []\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 626--628 []\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 628--630 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 632--634 []\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 634--636 []\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 636--638 []\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 638--640 []\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 640--642 []\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 642--644 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 644--646 []\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 646--648 []\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 648--649 []\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 653--655 []\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 655--657 []\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 657--659 []\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 659--661 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 663--665 []\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 665--667 []\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 667--669 []\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 669--671 []\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 671--673 []\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 673--675 []\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 675--677 []\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 677--679 []\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 679--681 []\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 681--683 []\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 683--685 []\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 685--687 []\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 687--689 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Overfull \hbox (27.96046pt too wide) in paragraph at lines 693--695 []\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 695--697 []\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 697--699 []\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 699--701 []\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 701--703 []\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 703--705 []\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 705--707 []\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 707--709 []\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 709--711 []\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 711--712 []\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 712--714 []\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 714--716 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Overfull \hbox (80.44995pt too wide) in paragraph at lines 716--718 []\T1/pcr/m/n/10 get_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.RFClassifierSelectFromModel Overfull \hbox (81.89014pt too wide) in paragraph at lines 718--720 []\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 720--721 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch [320] Underfull \hbox (badness 10000) in paragraph at lines 723--724 []\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 728--730 []\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 730--731 []\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 731--733 []\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 733--735 []\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 735--737 []\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 737--739 []\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 741--743 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 743--745 []\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 745--747 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 745--747 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 747--749 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 747--749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 749--751 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 749--751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 751--753 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 751--753 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 753--755 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 753--755 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 755--757 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 755--757 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 757--759 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 757--759 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 759--761 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 759--761 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 761--763 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 761--763 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 763--765 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 763--765 \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 765--767 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 771--773 []\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 777--779 []\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 779--781 []\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 781--782 []\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 782--784 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 782--784 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 784--786 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 784--786 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 786--788 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 786--788 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 788--790 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 788--790 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 790--792 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 790--792 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 792--794 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 792--794 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 794--796 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 794--796 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 796--798 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 796--798 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 798--800 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 798--800 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 800--802 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 800--802 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 802--804 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 802--804 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 804--806 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 804--806 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- [321] Underfull \hbox (badness 10000) in paragraph at lines 806--808 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 806--808 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 808--810 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 808--810 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 810--812 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 810--812 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 812--814 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 812--814 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 814--816 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 814--816 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 816--818 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 816--818 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 818--820 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 818--820 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 820--822 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 822--824 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 822--824 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 824--826 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 824--826 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 826--828 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 826--828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 828--830 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 828--830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 830--832 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 830--832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 832--834 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 832--834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 834--836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 836--838 []\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 838--840 []\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 840--842 []\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 842--844 []\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 844--846 []\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 846--848 []\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 854--855 []\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 855--857 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 855--857 \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 857--859 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 857--859 \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 859--861 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 861--863 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 863--865 []\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 868--869 []\T1/pcr/m/n/10 label_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 869--870 []\T1/pcr/m/n/10 LabelLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 871--873 []\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 873--874 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 877--879 []\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 879--881 []\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 885--887 []\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 887--889 []\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 889--891 []\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 891--893 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor [322] Overfull \hbox (9.60025pt too wide) in paragraph at lines 895--897 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 897--899 []\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 899--901 []\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 901--903 []\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 903--905 []\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 907--909 []\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 909--911 []\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 911--913 []\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 913--915 []\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 917--919 []\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 921--923 []\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 923--925 []\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 925--927 []\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 927--929 []\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 929--931 []\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 931--933 []\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 933--935 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 935--937 []\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 937--939 []\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 939--941 []\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 941--943 []\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 943--945 []\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 945--947 []\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 949--951 []\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 951--953 []\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 954--956 []\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 961--963 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 973--975 []\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 979--981 []\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 981--983 []\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 983--984 []\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 984--986 []\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 986--988 []\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 988--990 []\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 990--992 []\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 992--994 []\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 994--996 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor [323] Overfull \hbox (40.81021pt too wide) in paragraph at lines 996--998 []\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 998--1000 []\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 1000--1002 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1002--1004 []\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 1004--1006 []\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 1006--1008 []\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 1008--1010 []\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 1010--1012 []\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 1012--1014 []\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 1016--1018 []\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 1018--1020 []\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 1020--1022 []\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 1022--1024 []\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 1024--1026 []\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 1026--1028 []\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 1028--1030 []\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 1030--1032 []\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 1032--1034 []\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 1034--1036 []\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 1036--1038 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (27.09074pt too wide) in paragraph at lines 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\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 1046--1048 []\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 1048--1050 []\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 1050--1052 []\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 1054--1056 []\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 1062--1064 []\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 1064--1065 []\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 1069--1071 []\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 1072--1073 []\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 1077--1079 []\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 1079--1081 []\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 1081--1083 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Underfull \hbox (badness 6927) in paragraph at lines 1087--1089 []\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 1089--1091 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns [324] Overfull \hbox (31.3796pt too wide) in paragraph at lines 1104--1106 []\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 1110--1112 []\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 1112--1114 []\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 1114--1116 []\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 1116--1118 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1126--1128 []\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 1128--1130 []\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 1130--1132 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1136--1138 []\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 1138--1140 []\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 1140--1142 []\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 1142--1143 []\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 1143--1144 []\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 1147--1149 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1147--1149 \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 1149--1151 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1149--1151 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1151--1152 []\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 1152--1154 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 \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 1158--1160 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1158--1160 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1160--1162 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1160--1162 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1162--1164 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1162--1164 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1164--1166 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1166--1168 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1166--1168 \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 1168--1169 []\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 1169--1171 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1171--1173 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1173--1175 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1173--1175 \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 1175--1177 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1177--1179 \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 1179--1181 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1179--1181 \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 1181--1183 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1183--1184 []\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 1184--1186 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1186--1188 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1186--1188 \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 1188--1190 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1188--1190 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCMulticlass method\T1/ptm/m /n/10 ), [325] Underfull \hbox (badness 10000) in paragraph at lines 1190--1192 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1190--1192 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1192--1194 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1194--1195 []\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 1195--1197 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1195--1197 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1197--1199 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1197--1199 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1199--1201 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1201--1203 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1201--1203 \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 1203--1205 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1203--1205 \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 1205--1207 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1207--1208 []\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 1208--1209 []\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 1209--1211 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \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 1211--1213 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \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 1213--1215 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1213--1215 \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 1215--1217 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1215--1217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1222--1223 []\T1/pcr/m/n/10 OneHotEncoder \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1223--1225 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1223--1225 \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 1225--1226 []\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 1226--1228 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1228--1230 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1228--1230 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1232--1233 []\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 1233--1235 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1235--1237 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1235--1237 \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 1237--1239 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1237--1239 \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 1239--1241 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 \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 1241--1243 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1243--1244 []\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 1248--1249 []\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 1251--1253 []\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 1256--1258 []\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 1258--1260 []\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 1260--1262 []\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 1262--1264 []\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 1264--1266 []\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 1266--1268 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier [326] Overfull \hbox (21.46036pt too wide) in paragraph at lines 1268--1270 []\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 1270--1272 []\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 1272--1274 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1274--1276 []\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 1276--1278 []\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 1278--1280 []\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 1280--1282 []\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 1282--1284 []\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 1284--1286 []\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 1286--1288 []\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 1288--1290 []\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 1290--1292 []\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 1292--1294 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1294--1296 []\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 1296--1298 []\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 1298--1300 []\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 1300--1302 []\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 1302--1304 []\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 1304--1306 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mul ticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1307--1308 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Reg ressionPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 1308--1310 []\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 1310--1312 []\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 1312--1314 []\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 1314--1316 []\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 1316--1318 []\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 1318--1320 []\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 1320--1322 []\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 1322--1324 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1324--1326 []\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 1326--1328 []\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 1328--1330 []\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 1330--1332 []\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 1332--1334 []\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 1334--1336 []\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 1336--1338 []\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 1338--1340 []\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 1340--1342 []\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 1342--1344 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1344--1346 []\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 1346--1348 []\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 1348--1350 []\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 1350--1352 []\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 1352--1354 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (16.1225pt too wide) in paragraph at lines 1354--1356 []\T1/pcr/m/n/10 print_objective_names_allowed_in_automl() Overfull \hbox (9.96046pt too wide) in paragraph at lines 1356--1358 []\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 1358--1360 []\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 1360--1362 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1362--1364 []\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 1364--1366 []\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 1366--1368 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 1370--1371 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner [327] Underfull \hbox (badness 10000) in paragraph at lines 1377--1379 []\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 1379--1381 []\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 1388--1390 []\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 1390--1392 []\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 1392--1393 []\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 1393--1394 []\T1/pcr/m/n/10 RootMeanSquaredError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1394--1395 []\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 1399--1400 []\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 1400--1402 []\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 1402--1404 []\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 1406--1407 []\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 1407--1409 []\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 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1417--1419 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1419--1420 []\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 1420--1422 []\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 1422--1424 []\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 1424--1426 []\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 1426--1427 []\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 1427--1429 []\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 1429--1431 []\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 1432--1434 []\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 1436--1438 []\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 1440--1442 []\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 1442--1444 []\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 1444--1446 []\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 1446--1448 []\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 1448--1450 []\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 1450--1452 []\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 1452--1454 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1454--1456 []\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 1456--1458 []\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 1458--1459 []\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 1459--1461 []\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 1461--1463 []\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 1463--1465 []\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 1467--1469 []\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 1469--1471 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline [328] Underfull \hbox (badness 10000) in paragraph at lines 1474--1475 []\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 1479--1481 []\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 1481--1483 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bala ncedAccuracyMulticlass Overfull \hbox (9.39989pt too wide) in paragraph at lines 1483--1485 []\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 1493--1494 []\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 1494--1495 []\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 1499--1500 []\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 1502--1504 []\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 1504--1505 []\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 1508--1509 []\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 1514--1515 []\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 1515--1516 []\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 1516--1518 []\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 1518--1519 []\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 1523--1525 []\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 1525--1526 []\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 1526--1528 []\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 1528--1530 []\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 1530--1532 []\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 1532--1534 []\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 1537--1538 []\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 1538--1539 []\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 1541--1542 []\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 1548--1550 []\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 1550--1552 []\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 1552--1554 []\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 1554--1556 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1554--1556 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier [329] Underfull \hbox (badness 10000) in paragraph at lines 1556--1558 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1556--1558 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1558--1560 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1558--1560 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1560--1562 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1560--1562 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1562--1564 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1562--1564 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1564--1566 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1564--1566 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1566--1568 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1566--1568 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1568--1570 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1568--1570 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1570--1572 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1570--1572 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1572--1574 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1572--1574 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1574--1576 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1574--1576 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1576--1578 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1576--1578 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1578--1580 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1578--1580 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1580--1582 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1580--1582 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1582--1584 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1582--1584 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1587--1588 []\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 1588--1590 []\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 1590--1592 []\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 1592--1594 []\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 1594--1596 []\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 1596--1598 []\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 1598--1600 []\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 1600--1602 []\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 1602--1604 []\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 1604--1606 []\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 1606--1608 []\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 1608--1610 []\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 1610--1612 []\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 1612--1614 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Underfull \hbox (badness 10000) in paragraph at lines 1620--1621 []\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 1623--1625 []\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 1625--1627 []\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 1627--1629 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (17.19112pt too wide) in paragraph at lines 1629--1631 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. LabelLeakageDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1631--1633 []\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 1633--1635 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 \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 1637--1639 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1637--1639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1639--1640 []\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 1641--1642 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro [330] Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1642--1644 \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 1644--1646 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1644--1646 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1646--1648 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1646--1648 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1648--1650 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1648--1650 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1650--1652 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1655--1656 []\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 1656--1657 []\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 1659--1660 []\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 1662--1664 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1662--1664 \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 1664--1666 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1666--1667 []\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 1667--1668 []\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 1669--1671 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1669--1671 \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 1671--1673 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1671--1673 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1673--1674 []\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 1674--1675 []\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 1675--1677 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1675--1677 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1677--1679 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1677--1679 \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 1679--1680 []\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 1680--1682 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1680--1682 \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 1682--1684 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1682--1684 \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 1684--1686 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1687--1688 []\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 1688--1690 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1688--1690 \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 1692--1694 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1692--1694 \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 1694--1696 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1694--1696 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1696--1698 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1698--1700 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1703--1705 []\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 1705--1706 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [331]) (./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 (335 pages, 1723948 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: 2020-09-16T13:59:34.046470Z, end-time: 2020-09-16T13:59:34.104767Z, 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