Read the Docs build information Build id: 458367 Project: feature-labs-inc-evalml Version: main Commit: edd91f5e5aee90b4f0c91faab9dae5d361d41a02 Date: 2020-10-22T01:08:36.664252Z State: finished Success: True [rtd-command-info] start-time: 2020-10-22T01:08:39.278232Z, end-time: 2020-10-22T01:08:42.191813Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,140.82.112.3' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-10-22T01:08:42.645106Z, end-time: 2020-10-22T01:08:42.772339Z, 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 edd91f5e Add codecov yaml, round coverage up instead of down (#1334) [rtd-command-info] start-time: 2020-10-22T01:08:43.316911Z, end-time: 2020-10-22T01:08:43.371002Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-10-22T01:08:46.220782Z, end-time: 2020-10-22T01:08:50.262787Z, duration: 4, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.9' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/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: 2020-10-22T01:08:50.494698Z, end-time: 2020-10-22T01:08:51.200118Z, duration: 0, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (20.2.4) [rtd-command-info] start-time: 2020-10-22T01:08:51.456646Z, end-time: 2020-10-22T01:08:59.955384Z, duration: 8, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<1.1 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 babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.1-py3-none-any.whl (944 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting pytz>=2015.7 Downloading pytz-2020.1-py2.py3-none-any.whl (510 kB) Collecting pyparsing>=2.0.2 Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.11-py2.py3-none-any.whl (127 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting MarkupSafe>=0.23 Downloading MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl (27 kB) Building wheels for collected packages: mock, future Building wheel for mock (setup.py): started Building wheel for mock (setup.py): finished with status 'done' Created wheel for mock: filename=mock-1.0.1-py3-none-any.whl size=23754 sha256=81cb705002a7afe39685da4b5daf3705bd6d4606ff7ca96647dad9804687a49a Stored in directory: /tmp/pip-ephem-wheel-cache-ub0qeoa7/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=0d2157e8326ad09b7d9e2b6c3974b88d3aa36a2ef3c0f8184fd618f16b7acc7b Stored in directory: /tmp/pip-ephem-wheel-cache-ub0qeoa7/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, pytz, babel, six, pyparsing, packaging, chardet, idna, urllib3, certifi, requests, Pygments, MarkupSafe, Jinja2, snowballstemmer, imagesize, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.2 Uninstalling setuptools-50.3.2: Successfully uninstalled setuptools-50.3.2 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.1 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 urllib3-1.25.11 [rtd-command-info] start-time: 2020-10-22T01:09:00.337699Z, end-time: 2020-10-22T01:09:55.905353Z, duration: 55, 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-1.1.3-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.3-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn>=0.23 Downloading scikit_learn-0.23.2-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB) Collecting scikit-optimize>=0.8 Downloading scikit_optimize-0.8.1-py2.py3-none-any.whl (101 kB) Collecting colorama Downloading colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.7.2.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 woodwork>=0.0.3 Downloading woodwork-0.0.4-py3-none-any.whl (45 kB) Collecting plotly>=4.2.1 Downloading plotly-4.11.0-py2.py3-none-any.whl (13.1 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.1-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.2-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) 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==0.14.1) (2020.1) Collecting python-dateutil>=2.7.3 Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB) Collecting joblib>=0.11 Downloading joblib-0.17.0-py3-none-any.whl (301 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.50.2-py2.py3-none-any.whl (70 kB) Collecting slicer Downloading slicer-0.0.4-py3-none-any.whl (13 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.14.1) (1.15.0) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.5-py3-none-any.whl (100 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.8-py3-none-any.whl (172 kB) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.18.1-py3-none-any.whl (786 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting graphviz Downloading graphviz-0.14.2-py2.py3-none-any.whl (18 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) 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-50.3.2-py3-none-any.whl (785 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting tornado>=4.2 Downloading tornado-6.0.4.tar.gz (496 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.8-py3-none-any.whl (355 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.14.1) (2.7.1) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.4-py3-none-any.whl (9.5 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==0.14.1) (2020.6.20) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.14.1) (2.4.7) Collecting pillow>=6.2.0 Downloading Pillow-8.0.0-cp37-cp37m-manylinux1_x86_64.whl (2.2 MB) Collecting cycler>=0.10 Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.2.0-cp37-cp37m-manylinux1_x86_64.whl (88 kB) Collecting pyzmq>=13 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Collecting attrs>=17.4.0 Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting wcwidth Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Collecting ptyprocess>=0.5 Downloading ptyprocess-0.6.0-py2.py3-none-any.whl (39 kB) Collecting nbconvert Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.14.1) (2.11.2) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Collecting zipp>=0.5 Downloading zipp-3.3.1-py3-none-any.whl (5.3 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.2.tar.gz (14 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.1-py3-none-any.whl (65 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==0.14.1) (1.1.1) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.14.1) (20.4) Collecting nest-asyncio Downloading nest_asyncio-1.4.1-py3-none-any.whl (5.2 kB) Collecting async-generator Downloading async_generator-1.10-py3-none-any.whl (18 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 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-0.14.1-py3-none-any.whl size=5987478 sha256=d45d1c75cee8ade7f7e09fc3285dc284017f2b1358616cfcfb1fda6ea915c6c5 Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=283747 sha256=26be7a16fd94c3c33f91ee2ed41ba4ca9224390336b296927d5df0f2d094931e Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=88e817c60e2c7855dbc0bd9c333e79a0499d19a7e405c9dada863eeaebfe2f6a Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=461128 sha256=a2fdcd056f3e67eb24f38143dd04cfd72bd90c98ecb21bf19502f9216d164a3f Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=5a22d494cc4dc480462fc5e6943b7594b21204161960878f71312b3d49d6793a Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=867106580232d8e565a7ada0edf0265cf71ea252878fdeb5b4e212b2866cce1d Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=428556 sha256=53bf479d8f92593b020a82307bed5fd57af62f9e8221a11e86e634f89a11e63f Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=115298 sha256=b5fad3c5bca99e198a747fdeea791362001b1fafa459ea113dc72d31ae5cc99e Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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=4480ffdd39ca7fa27560849b6f16ac0dd94da5eee25e0689603e8bda42e7d8e9 Stored in directory: /tmp/pip-ephem-wheel-cache-8_lyyiy1/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, threadpoolctl, joblib, scikit-learn, PyYAML, pyaml, scikit-optimize, colorama, cloudpickle, click, psutil, requirements-parser, tqdm, slicer, llvmlite, setuptools, numba, shap, texttable, woodwork, retrying, plotly, ipython-genutils, traitlets, pickleshare, parso, jedi, wcwidth, prompt-toolkit, decorator, backcall, ptyprocess, pexpect, ipython, pyzmq, tornado, jupyter-core, jupyter-client, ipykernel, attrs, pyrsistent, zipp, importlib-metadata, jsonschema, nbformat, mistune, pandocfilters, webencodings, bleach, entrypoints, testpath, defusedxml, jupyterlab-pygments, nest-asyncio, async-generator, nbclient, nbconvert, Send2Trash, pycparser, cffi, argon2-cffi, prometheus-client, terminado, notebook, widgetsnbextension, ipywidgets, xgboost, graphviz, pillow, cycler, kiwisolver, matplotlib, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed 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-3.2.1 catboost-0.24.2 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.4 cycler-0.10.0 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 evalml-0.14.1 graphviz-0.14.2 importlib-metadata-2.0.0 ipykernel-5.3.4 ipython-7.18.1 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.2 joblib-0.17.0 jsonschema-3.2.0 jupyter-client-6.1.7 jupyter-core-4.6.3 jupyterlab-pygments-0.1.2 kiwisolver-1.2.0 lightgbm-3.0.0 llvmlite-0.34.0 matplotlib-3.3.2 mistune-0.8.4 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.1 notebook-6.1.4 numba-0.51.2 numpy-1.19.2 pandas-1.1.3 pandocfilters-1.4.2 parso-0.7.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-8.0.0 plotly-4.11.0 prometheus-client-0.8.0 prompt-toolkit-3.0.8 psutil-5.7.2 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 pyrsistent-0.17.3 python-dateutil-2.8.1 pyzmq-19.0.2 requirements-parser-0.2.0 retrying-1.3.3 scikit-learn-0.23.2 scikit-optimize-0.8.1 scipy-1.5.3 setuptools-50.3.2 shap-0.36.0 slicer-0.0.4 terminado-0.9.1 testpath-0.4.4 texttable-1.6.3 threadpoolctl-2.1.0 tornado-6.0.4 tqdm-4.50.2 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 woodwork-0.0.4 xgboost-1.2.1 zipp-3.3.1 [rtd-command-info] start-time: 2020-10-22T01:09:56.066985Z, end-time: 2020-10-22T01:10:12.176431Z, 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)) (1.1.3) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.3) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.4) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.2) 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 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.36.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: woodwork>=0.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r core-requirements.txt (line 13)) (0.0.4) Requirement already satisfied: 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)) (4.11.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.1) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.2) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: IPython>=5.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (7.18.1) 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 6)) (0.14.2) 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-0.20.0-py3-none-any.whl (287 kB) Collecting nlp_primitives>=1.0.0 Downloading nlp_primitives-1.0.0-py3-none-any.whl (23 kB) Requirement already satisfied: PyYAML==5.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from -r test-requirements.txt (line 11)) (5.3.1) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/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: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.17.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: slicer in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.4) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.50.2) 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: 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: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.5) Requirement already satisfied: 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: 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: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.8) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.2) 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) 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) 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: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.4.2) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.17.2) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.5) Requirement already satisfied: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (2.7.1) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (4.8.0) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (3.0.8) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.0) Requirement already satisfied: 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 7)) (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 dask[dataframe]>=2.12.0 Downloading dask-2.30.0-py3-none-any.whl (848 kB) Collecting distributed>=2.12.0 Downloading distributed-2.30.0-py3-none-any.whl (656 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 pycodestyle<2.6.0,>=2.5.0 Downloading pycodestyle-2.5.0-py2.py3-none-any.whl (51 kB) Collecting pyflakes<2.2.0,>=2.1.0 Downloading pyflakes-2.1.1-py2.py3-none-any.whl (59 kB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: 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-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Requirement already satisfied: 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) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) 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) 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: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) Collecting sphinxcontrib-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) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (3.2.1) Requirement already satisfied: 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: 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: 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: 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: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from numba->shap>=0.35.0->-r core-requirements.txt (line 11)) (0.34.0) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from traitlets>=4.3.1->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: 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: 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: 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: 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: 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: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (8.0.0) 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)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from jedi>=0.10->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.7.1) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from pexpect>4.3; sys_platform != "win32"->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.6.0) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython>=5.0.0->-r test-requirements.txt (line 5)) (0.2.5) Requirement already satisfied: 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 7)) (2.10) 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 7)) (3.0.4) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 7)) (1.25.11) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.4-py3-none-any.whl (91 kB) Collecting toolz>=0.8.2; extra == "dataframe" Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 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 regex Downloading regex-2020.10.15-cp37-cp37m-manylinux2010_x86_64.whl (662 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: 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: 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)) (0.9.1) 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: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.3) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.3.1) Collecting locket Downloading locket-0.2.0.tar.gz (3.5 kB) Collecting heapdict Downloading HeapDict-1.0.1-py3-none-any.whl (3.9 kB) Requirement already satisfied: cffi>=1.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/main/lib/python3.7/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (2.20) Building wheels for collected packages: codecov, autopep8, nltk, 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=0677582ba07364417591374c36a7c32ee60e5a3a01dcc0129121760352a9f825 Stored in directory: /tmp/pip-ephem-wheel-cache-15mdtgzw/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=9113976f166e3c763eee2dbf920dafd4fa850423ab19a034568eb6b936ec0824 Stored in directory: /tmp/pip-ephem-wheel-cache-15mdtgzw/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=1434675 sha256=e0226a762f9c054eec77dd446e5747d5c9ac2b4bc8513e376694a391bca916ee Stored in directory: /tmp/pip-ephem-wheel-cache-15mdtgzw/wheels/45/6c/46/a1865e7ba706b3817f5d1b2ff7ce8996aabdd0d03d47ba0266 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=54a3190ae0b90fcac78275e7ebbfd0bdc9db9f32d62a4e9dade01ded7cb32fff Stored in directory: /tmp/pip-ephem-wheel-cache-15mdtgzw/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Successfully built codecov autopep8 nltk locket Installing collected packages: pluggy, atomicwrites, py, more-itertools, pytest, pytest-forked, apipkg, execnet, pytest-xdist, coverage, pytest-cov, nbval, codecov, patsy, statsmodels, category-encoders, locket, toolz, partd, fsspec, dask, msgpack, sortedcontainers, heapdict, zict, tblib, distributed, featuretools, regex, nltk, nlp-primitives, mccabe, pycodestyle, pyflakes, flake8, autopep8, isort, sphinxcontrib-jsmath, sphinxcontrib-applehelp, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.7 Uninstalling nbconvert-6.0.7: Successfully uninstalled nbconvert-6.0.7 Successfully installed Sphinx-2.0.1 apipkg-1.5 atomicwrites-1.4.0 autopep8-1.4.3 category-encoders-2.2.2 codecov-2.1.0 coverage-5.3 dask-2.30.0 distributed-2.30.0 execnet-1.7.1 featuretools-0.20.0 flake8-3.7.0 fsspec-0.8.4 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-2020.10.15 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-0.11.1 zict-2.0.0 [rtd-command-info] start-time: 2020-10-22T01:10:36.143272Z, end-time: 2020-10-22T01:10:36.219743Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2020, Alteryx, Inc.' author = 'Alteryx, Inc.' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/alteryx/evalml/issues/%s', '#'), 'pr': ('https://github.com/alteryx/evalml/pull/%s', '#'), 'user': ('https://github.com/%s', '@') } autosummary_generate = ["api_reference.rst"] templates_path = ["_templates"] html_show_sphinx = False nbsphinx_execute = 'always' nbsphinx_timeout = 600 # sphinx defaults each cell to 30 seconds so we need to override here inheritance_graph_attrs = dict(rankdir="TB", dpi=192.0, ranksep=0.02) inheritance_node_attrs = dict(fontsize=6, height=0.15, width=5, fixedsize=True) inheritance_edge_attrs = dict(arrowsize=0.1) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "main", 'version_slug': "main", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': 'edd91f5e', } 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: 2020-10-22T01:10:36.460788Z, end-time: 2020-10-22T01:15:34.003784Z, duration: 297, 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.automl.get_default_primary_search_objective.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/main/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 18 source files that are out of date updating environment: 825 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... [ 0%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 3%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 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... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 9%] generated/evalml.objectives.PrecisionMicro reading sources... [ 9%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 9%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.PipelineBase reading sources... [ 12%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 12%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 12%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.DropColumns reading sources... [ 13%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Imputer reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 14%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 16%] generated/evalml.pipelines.components.Transformer reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 16%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 16%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 17%] generated/evalml.preprocessing.number_of_features reading sources... [ 17%] generated/evalml.preprocessing.split_data reading sources... [ 17%] generated/evalml.preprocessing.target_distribution reading sources... [ 17%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 18%] generated/evalml.tuners.SKOptTuner reading sources... [ 18%] generated/evalml.tuners.Tuner reading sources... [ 18%] generated/evalml.utils.convert_to_seconds reading sources... [ 18%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 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... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 23%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 24%] generated/methods/evalml.objectives.AUC.score reading sources... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 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... [ 25%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.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... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.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... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAE.score reading sources... [ 35%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 40%] generated/methods/evalml.objectives.Precision.score reading sources... [ 40%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.R2.score reading sources... [ 42%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 43%] generated/methods/evalml.objectives.Recall.score reading sources... [ 43%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 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... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 0%] generated/evalml.automl.get_default_primary_search_objective writing output... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheck writing output... [ 1%] generated/evalml.data_checks.DataCheckError writing output... [ 1%] generated/evalml.data_checks.DataCheckMessage writing output... [ 1%] generated/evalml.data_checks.DataCheckMessageType writing output... [ 1%] generated/evalml.data_checks.DataCheckWarning writing output... [ 1%] generated/evalml.data_checks.DataChecks writing output... [ 1%] generated/evalml.data_checks.DefaultDataChecks writing output... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck writing output... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck writing output... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_churn writing output... [ 3%] generated/evalml.demos.load_diabetes writing output... [ 3%] generated/evalml.demos.load_fraud writing output... [ 3%] generated/evalml.demos.load_wine writing output... [ 3%] generated/evalml.model_family.ModelFamily writing output... [ 3%] generated/evalml.model_family.handle_model_family writing output... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold writing output... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance writing output... [ 3%] generated/evalml.model_understanding.confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold writing output... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.graph_permutation_importance writing output... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual writing output... [ 4%] generated/evalml.model_understanding.graph_roc_curve writing output... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix writing output... [ 4%] generated/evalml.model_understanding.precision_recall_curve writing output... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions writing output... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst writing output... [ 5%] generated/evalml.model_understanding.roc_curve writing output... [ 5%] generated/evalml.objectives.AUC writing output... [ 5%] generated/evalml.objectives.AUCMacro writing output... [ 5%] generated/evalml.objectives.AUCMicro writing output... [ 5%] generated/evalml.objectives.AUCWeighted writing output... [ 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... [ 8%] generated/evalml.objectives.Precision writing output... [ 8%] generated/evalml.objectives.PrecisionMacro writing output... [ 9%] generated/evalml.objectives.PrecisionMicro writing output... [ 9%] generated/evalml.objectives.PrecisionWeighted writing output... [ 9%] generated/evalml.objectives.R2 writing output... [ 9%] generated/evalml.objectives.Recall writing output... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 9%] generated/evalml.objectives.RecallWeighted writing output... [ 9%] generated/evalml.objectives.RegressionObjective writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 10%] generated/evalml.objectives.get_all_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objective_names writing output... [ 10%] generated/evalml.objectives.get_core_objectives writing output... [ 10%] generated/evalml.objectives.get_non_core_objectives writing output... [ 10%] generated/evalml.objectives.get_objective writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 12%] generated/evalml.pipelines.PipelineBase writing output... [ 12%] generated/evalml.pipelines.RegressionPipeline writing output... [ 12%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 12%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 12%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 12%] generated/evalml.pipelines.components.ComponentBase writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier writing output... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor writing output... [ 13%] generated/evalml.pipelines.components.DropColumns writing output... [ 13%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 14%] generated/evalml.pipelines.components.Imputer writing output... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 14%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 14%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 15%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 15%] generated/evalml.pipelines.components.SelectColumns writing output... [ 15%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier writing output... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 16%] generated/evalml.pipelines.components.Transformer writing output... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 16%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 16%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 17%] generated/evalml.preprocessing.number_of_features writing output... [ 17%] generated/evalml.preprocessing.split_data writing output... [ 17%] generated/evalml.preprocessing.target_distribution writing output... [ 17%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 18%] generated/evalml.tuners.SKOptTuner writing output... [ 18%] generated/evalml.tuners.Tuner writing output... [ 18%] generated/evalml.utils.convert_to_seconds writing output... [ 18%] generated/evalml.utils.get_random_seed writing output... [ 18%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch writing output... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ writing output... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate writing output... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate writing output... [ 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... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate writing output... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate writing output... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.validate writing output... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate writing output... [ 23%] generated/methods/evalml.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 24%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 24%] generated/methods/evalml.objectives.AUC.optimize_threshold writing output... [ 24%] generated/methods/evalml.objectives.AUC.score writing output... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference writing output... [ 24%] generated/methods/evalml.objectives.AUCMacro.objective_function writing output... [ 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... [ 25%] generated/methods/evalml.objectives.AUCMicro.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCMicro.score writing output... [ 25%] generated/methods/evalml.objectives.AUCMicro.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score writing output... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs writing output... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.decision_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score writing output... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function writing output... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score writing output... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function writing output... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.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... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.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... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 35%] generated/methods/evalml.objectives.MAE.score writing output... [ 35%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MSE.score writing output... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MaxError.score writing output... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 40%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 40%] generated/methods/evalml.objectives.Precision.score writing output... [ 40%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 42%] generated/methods/evalml.objectives.R2.score writing output... [ 42%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 43%] generated/methods/evalml.objectives.Recall.score writing output... [ 43%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 43%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 44%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 44%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 45%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 60%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 61%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 67%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba writing output... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 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... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba writing output... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save writing output... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.clone writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.describe writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe writing output... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe writing output... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba writing output... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted writing output... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.propose writing output... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted writing output... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose writing output... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ writing output... [ 98%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 99%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 4%] evalml.automl.utils highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 8%] evalml.data_checks.data_check_message highlighting module code... [ 9%] evalml.data_checks.data_check_message_type highlighting module code... [ 10%] evalml.data_checks.data_checks highlighting module code... [ 11%] evalml.data_checks.default_data_checks highlighting module code... [ 12%] evalml.data_checks.highly_null_data_check highlighting module code... [ 13%] evalml.data_checks.id_columns_data_check highlighting module code... [ 15%] evalml.data_checks.invalid_targets_data_check highlighting module code... [ 16%] evalml.data_checks.no_variance_data_check highlighting module code... [ 17%] evalml.data_checks.outliers_data_check highlighting module code... [ 18%] evalml.data_checks.target_leakage_data_check highlighting module code... [ 19%] evalml.demos.breast_cancer highlighting module code... [ 20%] evalml.demos.churn highlighting module code... [ 22%] evalml.demos.diabetes highlighting module code... [ 23%] evalml.demos.fraud highlighting module code... [ 24%] evalml.demos.wine highlighting module code... [ 25%] evalml.model_family.model_family highlighting module code... [ 26%] evalml.model_family.utils highlighting module code... [ 27%] evalml.model_understanding.graphs highlighting module code... [ 29%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 30%] evalml.objectives.binary_classification_objective highlighting module code... [ 31%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 32%] evalml.objectives.fraud_cost highlighting module code... [ 33%] evalml.objectives.lead_scoring highlighting module code... [ 34%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 36%] evalml.objectives.objective_base highlighting module code... [ 37%] evalml.objectives.regression_objective highlighting module code... [ 38%] evalml.objectives.standard_metrics highlighting module code... [ 39%] evalml.objectives.utils highlighting module code... [ 40%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 41%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 43%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 44%] evalml.pipelines.classification_pipeline highlighting module code... [ 45%] evalml.pipelines.components.component_base highlighting module code... [ 46%] evalml.pipelines.components.ensemble.stacked_ensemble_classifier highlighting module code... [ 47%] evalml.pipelines.components.ensemble.stacked_ensemble_regressor highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.decision_tree_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 54%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 58%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 59%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.decision_tree_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 67%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 68%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 69%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 70%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 74%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 79%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 81%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 82%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 83%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 84%] evalml.pipelines.components.utils highlighting module code... [ 86%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 87%] evalml.pipelines.pipeline_base highlighting module code... [ 88%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 89%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 93%] evalml.problem_types.problem_types highlighting module code... [ 94%] evalml.problem_types.utils highlighting module code... [ 95%] evalml.tuners.grid_search_tuner highlighting module code... [ 96%] evalml.tuners.random_search_tuner highlighting module code... [ 97%] evalml.tuners.skopt_tuner highlighting module code... [ 98%] evalml.tuners.tuner highlighting module code... [100%] evalml.utils.gen_utils writing additional pages... search copying images... [ 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. [rtd-command-info] start-time: 2020-10-22T01:15:34.461766Z, end-time: 2020-10-22T01:19:10.447064Z, duration: 215, 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: 825 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... [ 0%] generated/evalml.automl.get_default_primary_search_objective reading sources... [ 1%] generated/evalml.data_checks.ClassImbalanceDataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheck reading sources... [ 1%] generated/evalml.data_checks.DataCheckError reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessage reading sources... [ 1%] generated/evalml.data_checks.DataCheckMessageType reading sources... [ 1%] generated/evalml.data_checks.DataCheckWarning reading sources... [ 1%] generated/evalml.data_checks.DataChecks reading sources... [ 1%] generated/evalml.data_checks.DefaultDataChecks reading sources... [ 2%] generated/evalml.data_checks.HighlyNullDataCheck reading sources... [ 2%] generated/evalml.data_checks.IDColumnsDataCheck reading sources... [ 2%] generated/evalml.data_checks.InvalidTargetDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.data_checks.TargetLeakageDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_churn reading sources... [ 3%] generated/evalml.demos.load_diabetes reading sources... [ 3%] generated/evalml.demos.load_fraud reading sources... [ 3%] generated/evalml.demos.load_wine reading sources... [ 3%] generated/evalml.model_family.ModelFamily reading sources... [ 3%] generated/evalml.model_family.handle_model_family reading sources... [ 3%] generated/evalml.model_understanding.binary_objective_vs_threshold reading sources... [ 3%] generated/evalml.model_understanding.calculate_permutation_importance reading sources... [ 3%] generated/evalml.model_understanding.confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_binary_objective_vs_threshold reading sources... [ 4%] generated/evalml.model_understanding.graph_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.graph_permutation_importance reading sources... [ 4%] generated/evalml.model_understanding.graph_precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.graph_prediction_vs_actual reading sources... [ 4%] generated/evalml.model_understanding.graph_roc_curve reading sources... [ 4%] generated/evalml.model_understanding.normalize_confusion_matrix reading sources... [ 4%] generated/evalml.model_understanding.precision_recall_curve reading sources... [ 4%] generated/evalml.model_understanding.prediction_explanations.explain_prediction reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions reading sources... [ 5%] generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst reading sources... [ 5%] generated/evalml.model_understanding.roc_curve reading sources... [ 5%] generated/evalml.objectives.AUC reading sources... [ 5%] generated/evalml.objectives.AUCMacro reading sources... [ 5%] generated/evalml.objectives.AUCMicro reading sources... [ 5%] generated/evalml.objectives.AUCWeighted reading sources... [ 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... [ 8%] generated/evalml.objectives.Precision reading sources... [ 8%] generated/evalml.objectives.PrecisionMacro reading sources... [ 9%] generated/evalml.objectives.PrecisionMicro reading sources... [ 9%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 9%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 9%] generated/evalml.objectives.RecallWeighted reading sources... [ 9%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.objectives.get_all_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objective_names reading sources... [ 10%] generated/evalml.objectives.get_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_non_core_objectives reading sources... [ 10%] generated/evalml.objectives.get_objective reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 12%] generated/evalml.pipelines.PipelineBase reading sources... [ 12%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 12%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 12%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DecisionTreeClassifier reading sources... [ 13%] generated/evalml.pipelines.components.DecisionTreeRegressor reading sources... [ 13%] generated/evalml.pipelines.components.DropColumns reading sources... [ 13%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 14%] generated/evalml.pipelines.components.Imputer reading sources... [ 14%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 14%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 15%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 15%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleClassifier reading sources... [ 15%] generated/evalml.pipelines.components.StackedEnsembleRegressor reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 16%] generated/evalml.pipelines.components.Transformer reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 16%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 16%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 16%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline_from_components reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 17%] generated/evalml.preprocessing.number_of_features reading sources... [ 17%] generated/evalml.preprocessing.split_data reading sources... [ 17%] generated/evalml.preprocessing.target_distribution reading sources... [ 17%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 18%] generated/evalml.tuners.SKOptTuner reading sources... [ 18%] generated/evalml.tuners.Tuner reading sources... [ 18%] generated/evalml.utils.convert_to_seconds reading sources... [ 18%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 20%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch reading sources... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ reading sources... [ 20%] generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate reading sources... [ 20%] generated/methods/evalml.data_checks.DataCheck.validate reading sources... [ 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... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckMessage.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__eq__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataCheckWarning.__str__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.NoVarianceDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.OutliersDataCheck.validate reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate reading sources... [ 23%] generated/methods/evalml.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 24%] generated/methods/evalml.objectives.AUC.optimize_threshold reading sources... [ 24%] generated/methods/evalml.objectives.AUC.score reading sources... [ 24%] generated/methods/evalml.objectives.AUC.validate_inputs reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference reading sources... [ 24%] generated/methods/evalml.objectives.AUCMacro.objective_function reading sources... [ 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... [ 25%] generated/methods/evalml.objectives.AUCMicro.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCMicro.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.objective_function reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.score reading sources... [ 25%] generated/methods/evalml.objectives.AUCWeighted.validate_inputs reading sources... [ 25%] generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.decision_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.score reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyBinary.validate_inputs reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.objective_function reading sources... [ 26%] generated/methods/evalml.objectives.AccuracyMulticlass.score reading sources... [ 27%] generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function reading sources... [ 27%] generated/methods/evalml.objectives.BalancedAccuracyBinary.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... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.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... [ 30%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 30%] 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... [ 31%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.MAE.score reading sources... [ 35%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MSE.score reading sources... [ 37%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 40%] generated/methods/evalml.objectives.Precision.score reading sources... [ 40%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.R2.score reading sources... [ 42%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 43%] generated/methods/evalml.objectives.Recall.score reading sources... [ 43%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 43%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 45%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 46%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 55%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 56%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 58%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 59%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 60%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 61%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 61%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 62%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 63%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 64%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 65%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba reading sources... [ 70%] generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 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... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 72%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 83%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 85%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba reading sources... [ 91%] generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.save reading sources... [ 92%] generated/methods/evalml.pipelines.components.StandardScaler.transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.clone reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.describe reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 93%] generated/methods/evalml.pipelines.components.TextFeaturizer.transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.__init__ reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.clone reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.describe reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 94%] generated/methods/evalml.pipelines.components.Transformer.transform reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.clone reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.describe reading sources... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.fit reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostClassifier.save reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.clone reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.describe reading sources... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.fit reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba reading sources... [ 96%] generated/methods/evalml.pipelines.components.XGBoostRegressor.save reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.__init__ reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.add reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.is_search_space_exhausted reading sources... [ 96%] generated/methods/evalml.tuners.GridSearchTuner.propose reading sources... [ 96%] generated/methods/evalml.tuners.RandomSearchTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.RandomSearchTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.__init__ reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.add reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted reading sources... [ 97%] generated/methods/evalml.tuners.SKOptTuner.propose reading sources... [ 97%] generated/methods/evalml.tuners.Tuner.__init__ reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 99%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.load_data generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.get_default_primary_search_objective generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features generated/methods/evalml.pipelines.PipelineBase.describe generated/methods/evalml.pipelines.PipelineBase.fit generated/methods/evalml.pipelines.PipelineBase.get_component generated/methods/evalml.pipelines.PipelineBase.graph generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance generated/methods/evalml.pipelines.PipelineBase.load generated/methods/evalml.pipelines.PipelineBase.predict generated/methods/evalml.pipelines.PipelineBase.save generated/methods/evalml.pipelines.PipelineBase.score generated/evalml.pipelines.ClassificationPipeline generated/methods/evalml.pipelines.ClassificationPipeline.__init__ generated/methods/evalml.pipelines.ClassificationPipeline.clone generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.ClassificationPipeline.describe generated/methods/evalml.pipelines.ClassificationPipeline.fit generated/methods/evalml.pipelines.ClassificationPipeline.get_component generated/methods/evalml.pipelines.ClassificationPipeline.graph generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.ClassificationPipeline.load generated/methods/evalml.pipelines.ClassificationPipeline.predict generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba generated/methods/evalml.pipelines.ClassificationPipeline.save generated/methods/evalml.pipelines.ClassificationPipeline.score generated/evalml.pipelines.BinaryClassificationPipeline generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.BinaryClassificationPipeline.load generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba generated/methods/evalml.pipelines.BinaryClassificationPipeline.save generated/methods/evalml.pipelines.BinaryClassificationPipeline.score generated/evalml.pipelines.MulticlassClassificationPipeline generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score generated/evalml.pipelines.RegressionPipeline generated/methods/evalml.pipelines.RegressionPipeline.__init__ generated/methods/evalml.pipelines.RegressionPipeline.clone generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.RegressionPipeline.describe generated/methods/evalml.pipelines.RegressionPipeline.fit generated/methods/evalml.pipelines.RegressionPipeline.get_component generated/methods/evalml.pipelines.RegressionPipeline.graph generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.RegressionPipeline.load generated/methods/evalml.pipelines.RegressionPipeline.predict generated/methods/evalml.pipelines.RegressionPipeline.save generated/methods/evalml.pipelines.RegressionPipeline.score generated/evalml.pipelines.BaselineBinaryPipeline generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineBinaryPipeline.load generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.BaselineBinaryPipeline.save generated/methods/evalml.pipelines.BaselineBinaryPipeline.score generated/evalml.pipelines.BaselineMulticlassPipeline generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score generated/evalml.pipelines.ModeBaselineBinaryPipeline generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score generated/evalml.pipelines.ModeBaselineMulticlassPipeline generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score generated/evalml.pipelines.BaselineRegressionPipeline generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.BaselineRegressionPipeline.load generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict generated/methods/evalml.pipelines.BaselineRegressionPipeline.save generated/methods/evalml.pipelines.BaselineRegressionPipeline.score generated/evalml.pipelines.MeanBaselineRegressionPipeline generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score generated/evalml.pipelines.utils.make_pipeline generated/evalml.pipelines.utils.make_pipeline_from_components generated/evalml.pipelines.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.categories generated/methods/evalml.pipelines.components.OneHotEncoder.clone generated/methods/evalml.pipelines.components.OneHotEncoder.describe generated/methods/evalml.pipelines.components.OneHotEncoder.fit generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names generated/methods/evalml.pipelines.components.OneHotEncoder.load generated/methods/evalml.pipelines.components.OneHotEncoder.save generated/methods/evalml.pipelines.components.OneHotEncoder.transform generated/evalml.pipelines.components.PerColumnImputer generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ generated/methods/evalml.pipelines.components.PerColumnImputer.clone generated/methods/evalml.pipelines.components.PerColumnImputer.describe generated/methods/evalml.pipelines.components.PerColumnImputer.fit generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform generated/methods/evalml.pipelines.components.PerColumnImputer.load generated/methods/evalml.pipelines.components.PerColumnImputer.save generated/methods/evalml.pipelines.components.PerColumnImputer.transform generated/evalml.pipelines.components.Imputer generated/methods/evalml.pipelines.components.Imputer.__init__ generated/methods/evalml.pipelines.components.Imputer.clone generated/methods/evalml.pipelines.components.Imputer.describe generated/methods/evalml.pipelines.components.Imputer.fit generated/methods/evalml.pipelines.components.Imputer.fit_transform generated/methods/evalml.pipelines.components.Imputer.load generated/methods/evalml.pipelines.components.Imputer.save generated/methods/evalml.pipelines.components.Imputer.transform generated/evalml.pipelines.components.SimpleImputer generated/methods/evalml.pipelines.components.SimpleImputer.__init__ generated/methods/evalml.pipelines.components.SimpleImputer.clone generated/methods/evalml.pipelines.components.SimpleImputer.describe generated/methods/evalml.pipelines.components.SimpleImputer.fit generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform generated/methods/evalml.pipelines.components.SimpleImputer.load generated/methods/evalml.pipelines.components.SimpleImputer.save generated/methods/evalml.pipelines.components.SimpleImputer.transform generated/evalml.pipelines.components.StandardScaler generated/methods/evalml.pipelines.components.StandardScaler.__init__ generated/methods/evalml.pipelines.components.StandardScaler.clone generated/methods/evalml.pipelines.components.StandardScaler.describe generated/methods/evalml.pipelines.components.StandardScaler.fit generated/methods/evalml.pipelines.components.StandardScaler.fit_transform generated/methods/evalml.pipelines.components.StandardScaler.load generated/methods/evalml.pipelines.components.StandardScaler.save generated/methods/evalml.pipelines.components.StandardScaler.transform generated/evalml.pipelines.components.RFRegressorSelectFromModel generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform generated/evalml.pipelines.components.RFClassifierSelectFromModel generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform generated/evalml.pipelines.components.DropNullColumns generated/methods/evalml.pipelines.components.DropNullColumns.__init__ generated/methods/evalml.pipelines.components.DropNullColumns.clone generated/methods/evalml.pipelines.components.DropNullColumns.describe generated/methods/evalml.pipelines.components.DropNullColumns.fit generated/methods/evalml.pipelines.components.DropNullColumns.fit_transform generated/methods/evalml.pipelines.components.DropNullColumns.load generated/methods/evalml.pipelines.components.DropNullColumns.save generated/methods/evalml.pipelines.components.DropNullColumns.transform generated/evalml.pipelines.components.DateTimeFeaturizer generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform generated/evalml.pipelines.components.TextFeaturizer generated/methods/evalml.pipelines.components.TextFeaturizer.__init__ generated/methods/evalml.pipelines.components.TextFeaturizer.clone generated/methods/evalml.pipelines.components.TextFeaturizer.describe generated/methods/evalml.pipelines.components.TextFeaturizer.fit generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform generated/methods/evalml.pipelines.components.TextFeaturizer.load generated/methods/evalml.pipelines.components.TextFeaturizer.save generated/methods/evalml.pipelines.components.TextFeaturizer.transform generated/evalml.pipelines.components.CatBoostClassifier generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ generated/methods/evalml.pipelines.components.CatBoostClassifier.clone generated/methods/evalml.pipelines.components.CatBoostClassifier.describe generated/methods/evalml.pipelines.components.CatBoostClassifier.fit generated/methods/evalml.pipelines.components.CatBoostClassifier.load generated/methods/evalml.pipelines.components.CatBoostClassifier.predict generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.CatBoostClassifier.save generated/evalml.pipelines.components.ElasticNetClassifier generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit generated/methods/evalml.pipelines.components.ElasticNetClassifier.load generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba generated/methods/evalml.pipelines.components.ElasticNetClassifier.save generated/evalml.pipelines.components.ExtraTreesClassifier generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save generated/evalml.pipelines.components.RandomForestClassifier generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ generated/methods/evalml.pipelines.components.RandomForestClassifier.clone generated/methods/evalml.pipelines.components.RandomForestClassifier.describe generated/methods/evalml.pipelines.components.RandomForestClassifier.fit generated/methods/evalml.pipelines.components.RandomForestClassifier.load generated/methods/evalml.pipelines.components.RandomForestClassifier.predict generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba generated/methods/evalml.pipelines.components.RandomForestClassifier.save generated/evalml.pipelines.components.LightGBMClassifier generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ generated/methods/evalml.pipelines.components.LightGBMClassifier.clone generated/methods/evalml.pipelines.components.LightGBMClassifier.describe generated/methods/evalml.pipelines.components.LightGBMClassifier.fit generated/methods/evalml.pipelines.components.LightGBMClassifier.load generated/methods/evalml.pipelines.components.LightGBMClassifier.predict generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba generated/methods/evalml.pipelines.components.LightGBMClassifier.save generated/evalml.pipelines.components.LogisticRegressionClassifier generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save generated/evalml.pipelines.components.XGBoostClassifier generated/methods/evalml.pipelines.components.XGBoostClassifier.__init__ generated/methods/evalml.pipelines.components.XGBoostClassifier.clone generated/methods/evalml.pipelines.components.XGBoostClassifier.describe generated/methods/evalml.pipelines.components.XGBoostClassifier.fit generated/methods/evalml.pipelines.components.XGBoostClassifier.load generated/methods/evalml.pipelines.components.XGBoostClassifier.predict generated/methods/evalml.pipelines.components.XGBoostClassifier.predict_proba generated/methods/evalml.pipelines.components.XGBoostClassifier.save generated/evalml.pipelines.components.BaselineClassifier generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ generated/methods/evalml.pipelines.components.BaselineClassifier.clone generated/methods/evalml.pipelines.components.BaselineClassifier.describe generated/methods/evalml.pipelines.components.BaselineClassifier.fit generated/methods/evalml.pipelines.components.BaselineClassifier.load generated/methods/evalml.pipelines.components.BaselineClassifier.predict generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba generated/methods/evalml.pipelines.components.BaselineClassifier.save generated/evalml.pipelines.components.StackedEnsembleClassifier generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.clone generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.describe generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.fit generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.load generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleClassifier.save generated/evalml.pipelines.components.DecisionTreeClassifier generated/methods/evalml.pipelines.components.DecisionTreeClassifier.__init__ generated/methods/evalml.pipelines.components.DecisionTreeClassifier.clone generated/methods/evalml.pipelines.components.DecisionTreeClassifier.describe generated/methods/evalml.pipelines.components.DecisionTreeClassifier.fit generated/methods/evalml.pipelines.components.DecisionTreeClassifier.load generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict generated/methods/evalml.pipelines.components.DecisionTreeClassifier.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeClassifier.save generated/evalml.pipelines.components.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.pipelines.components.StackedEnsembleRegressor generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.__init__ generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.clone generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.describe generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.fit generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.load generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.predict_proba generated/methods/evalml.pipelines.components.StackedEnsembleRegressor.save generated/evalml.pipelines.components.DecisionTreeRegressor generated/methods/evalml.pipelines.components.DecisionTreeRegressor.__init__ generated/methods/evalml.pipelines.components.DecisionTreeRegressor.clone generated/methods/evalml.pipelines.components.DecisionTreeRegressor.describe generated/methods/evalml.pipelines.components.DecisionTreeRegressor.fit generated/methods/evalml.pipelines.components.DecisionTreeRegressor.load generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict generated/methods/evalml.pipelines.components.DecisionTreeRegressor.predict_proba generated/methods/evalml.pipelines.components.DecisionTreeRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.graph_prediction_vs_actual generated/evalml.model_understanding.prediction_explanations.explain_prediction generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.calculate_percent_difference generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.CostBenefitMatrix generated/methods/evalml.objectives.CostBenefitMatrix.__init__ generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference generated/methods/evalml.objectives.CostBenefitMatrix.decision_function generated/methods/evalml.objectives.CostBenefitMatrix.objective_function generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold generated/methods/evalml.objectives.CostBenefitMatrix.score generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.calculate_percent_difference generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference generated/methods/evalml.objectives.PrecisionWeighted.objective_function generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.calculate_percent_difference generated/methods/evalml.objectives.Recall.decision_function generated/methods/evalml.objectives.Recall.objective_function generated/methods/evalml.objectives.Recall.optimize_threshold generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.validate_inputs generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference generated/methods/evalml.objectives.RecallMicro.objective_function generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.validate_inputs generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference generated/methods/evalml.objectives.RecallMacro.objective_function generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.validate_inputs generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.MeanSquaredLogError.objective_function generated/methods/evalml.objectives.MeanSquaredLogError.score generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.calculate_percent_difference generated/methods/evalml.objectives.MedianAE.objective_function generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.validate_inputs generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.calculate_percent_difference generated/methods/evalml.objectives.MaxError.objective_function generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.validate_inputs generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference generated/methods/evalml.objectives.ExpVariance.objective_function generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.validate_inputs generated/evalml.objectives.RootMeanSquaredError generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredError.objective_function generated/methods/evalml.objectives.RootMeanSquaredError.score generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs generated/evalml.objectives.RootMeanSquaredLogError generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.objectives.get_all_objective_names generated/evalml.objectives.get_core_objectives generated/evalml.objectives.get_core_objective_names generated/evalml.objectives.get_non_core_objectives generated/evalml.objectives.get_objective generated/evalml.problem_types.ProblemTypes generated/evalml.problem_types.handle_problem_types generated/evalml.problem_types.detect_problem_type 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.__init__ generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate generated/evalml.data_checks.HighlyNullDataCheck generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ generated/methods/evalml.data_checks.HighlyNullDataCheck.validate generated/evalml.data_checks.IDColumnsDataCheck generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ generated/methods/evalml.data_checks.IDColumnsDataCheck.validate generated/evalml.data_checks.TargetLeakageDataCheck generated/methods/evalml.data_checks.TargetLeakageDataCheck.__init__ generated/methods/evalml.data_checks.TargetLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.ClassImbalanceDataCheck generated/methods/evalml.data_checks.ClassImbalanceDataCheck.__init__ generated/methods/evalml.data_checks.ClassImbalanceDataCheck.validate generated/evalml.data_checks.DataChecks generated/methods/evalml.data_checks.DataChecks.__init__ generated/methods/evalml.data_checks.DataChecks.validate generated/evalml.data_checks.DefaultDataChecks generated/methods/evalml.data_checks.DefaultDataChecks.__init__ generated/methods/evalml.data_checks.DefaultDataChecks.validate generated/evalml.data_checks.DataCheckMessage generated/methods/evalml.data_checks.DataCheckMessage.__init__ generated/methods/evalml.data_checks.DataCheckMessage.__str__ generated/methods/evalml.data_checks.DataCheckMessage.__eq__ generated/evalml.data_checks.DataCheckError generated/methods/evalml.data_checks.DataCheckError.__init__ generated/methods/evalml.data_checks.DataCheckError.__str__ generated/methods/evalml.data_checks.DataCheckError.__eq__ generated/evalml.data_checks.DataCheckWarning generated/methods/evalml.data_checks.DataCheckWarning.__init__ generated/methods/evalml.data_checks.DataCheckWarning.__str__ generated/methods/evalml.data_checks.DataCheckWarning.__eq__ generated/evalml.data_checks.DataCheckMessageType generated/evalml.utils.import_or_raise generated/evalml.utils.convert_to_seconds generated/evalml.utils.get_random_state generated/evalml.utils.get_random_seed release_notes resolving references... done writing... done copying images... [ 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). [rtd-command-info] start-time: 2020-10-22T01:19:10.809805Z, end-time: 2020-10-22T01:19:10.873879Z, 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: 2020-10-22T01:19:10.981037Z, end-time: 2020-10-22T01:19:20.186092Z, duration: 9, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 4, chunk 1. Latexmk: This is Latexmk, John Collins, 1 January 2015, version: 4.41. File::Glob::glob() will disappear in perl 5.30. Use File::Glob::bsd_glob() instead. at /usr/bin/latexmk line 7482. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ Latexmk: applying rule 'pdflatex'... ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 309. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 309. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 5 undefined on input line 339. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] Underfull \vbox (badness 1371) detected at line 513 [6] LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 7 undefine d on input line 520. [7] [8] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.718 ...t=2800.0\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.718 ...t=2800.0\sphinxpxdimen]{{start_20_0}.svg} [9] [10] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [11] [12] [13] [14] [15] [16] [17] [18] [19] Overfull \vbox (0.52579pt too high) detected at line 1754 [20] [21] [22] [23] [24] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 25 undefined on input line 2194. [25] [26] Overfull \vbox (0.52579pt too high) detected at line 2419 [27] [28] Underfull \vbox (badness 10000) detected at line 2605 Overfull \vbox (2.88167pt too high) detected at line 2605 [29] [30] Chapter 4. [31] [32] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 33 undefined on input line 2908. Underfull \hbox (badness 10000) in paragraph at lines 2949--2950 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [33] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 34 undefined on input line 2991. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3031 ...]{{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.3031 ...]{{keyboard_interrupt_demo_updated}.gif} [34] Overfull \vbox (5.03935pt too high) detected at line 3137 [35] [36] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [37] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [38] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [39] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [40] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [41] Underfull \hbox (badness 10000) in paragraph at lines 3601--3602 []\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 , [42] [43] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 44 undefined on input line 3701. [44] Underfull \vbox (badness 10000) detected at line 3802 Overfull \vbox (2.68169pt too high) detected at line 3802 [45] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 46 undefined on input line 3821. [46] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 47 undefined on input line 3931. [47] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 48 undefined on input line 4022. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 48 undefined on input line 4022. [48] [49] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 50 undefined on input line 4107. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 50 undefined on input line 4107. [50] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 51 undefined on input line 4186. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 51 undefined on input line 4189. [51] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 52 undefined on input line 4257. [52] Underfull \hbox (badness 10000) in paragraph at lines 4363--4365 \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 , [53] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 54 undefine d on input line 4377. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 54 undefine d on input line 4415. [54] [55] LaTeX Warning: Hyper reference `api_reference:components' on page 56 undefined on input line 4589. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4631 ...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.4631 ...xdimen]{{user_guide_pipelines_16_0}.svg} [56] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 57 undefined on input line 4724. [57] [58] [59] [60] [61] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 62 undefine d on input line 5275. [62] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 63 undefined on input line 5379. [63] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 64 undefined on inpu t line 5430. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 64 undefined on input line 5432. [64] Underfull \vbox (badness 10000) detected at line 5536 Overfull \vbox (2.68169pt too high) detected at line 5536 [65] Overfull \vbox (2.68167pt too high) detected at line 5559 [66] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 67 undefined on input line 5561 . [67] [68] Underfull \vbox (badness 10000) detected at line 5770 Overfull \vbox (2.68169pt too high) detected at line 5770 [69] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 70 undefine d on input line 5785. [70] Underfull \hbox (badness 10000) in paragraph at lines 5832--5833 \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 [71] [72] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 73 undefine d on input line 6034. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 73 undefined on input line 6034. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 73 undefin ed on input line 6035. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 73 undefine d on input line 6040. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 73 undefined on input line 6040. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 73 undefined on input line 6045. [73] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 74 undefined on input line 6050. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 74 undefine d on input line 6065. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 74 undefin ed on input line 6070. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 74 undefined on input line 6075. [74] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 75 undefined on input line 6106. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 75 undefined on input line 6111. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 75 undefined on input line 6116. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 75 undefined on input line 6121. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 75 undefined on input line 6126. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 6131. [75] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 76 undefined on input line 6275. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 76 undefined on input l ine 6280. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 76 undefined on input lin e 6285. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 76 undefined on input line 6290. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 76 undefined on input line 6295. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 6300. [76] [77] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 78 undefined on input line 6475. Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 6480. Underfull \hbox (badness 10000) in paragraph at lines 6487--6487 []\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 6487--6487 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 6487--6487 \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 6487--6487 \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 6487--6487 \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 6487--6487 \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 78 undefined on input line 6509. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 78 undefined on input line 6514. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 78 undefi ned on input line 6519. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 78 undefined on inp ut line 6524. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 78 undefined on input line 6529. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 78 undefined on input line 6534. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 78 undefined on input line 6539 . Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 6544. Underfull \hbox (badness 10000) in paragraph at lines 6551--6551 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6551--6551 \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 6551--6551 \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 6551--6551 \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 6551--6551 \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 , LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 78 undefined on input line 6556. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 78 undefined on input line 6559. [78] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 79 undefined on input line 6599. Underfull \hbox (badness 7869) in paragraph at lines 6599--6603 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [79] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 80 undefined on input line 6654. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 80 undefined on input line 6718. [80] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 81 undefined on input line 6793. Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 6857. [81] LaTeX Warning: Hyper reference `generated/evalml.automl.get_default_primary_sea rch_objective:evalml.automl.get_default_primary_search_objective' on page 82 un defined on input line 6888. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 6893. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 82 undefined on input line 6910. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 82 undefined on input line 6938. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 82 unde fined on input line 6943. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 6948. Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 \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 82 undefined on input line 6977. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 82 undefined on input line 6982. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 82 undefined on input line 6987. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 6992. [82 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6999--6999 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 83 undefined on input line 7037. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 83 undefined on input line 7058. [83] Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 7094. Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \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 84 undefined on input line 7131. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 84 undefined on input line 7136. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 84 undefined on input line 7141. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 7146. Underfull \hbox (badness 10000) in paragraph at lines 7153--7153 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [84 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 85 undefined on input line 7198. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 85 undefined on input line 7219. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 7255. [85] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 86 undefined on input line 7289. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 86 undefined on input line 7294. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 86 undefined on input line 7299. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 86 unde fined on input line 7304. Underfull \hbox (badness 5908) in paragraph at lines 7306--7308 []|\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 86 undefined on input line 7309. Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 7314. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 7371. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 86 undefined on input line 7392. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 86 undefined on input line 7397. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 86 undefined on input line 7402. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 86 undefined on input line 7407. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 86 undefined on input line 7412 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 86 undefine d on input line 7417. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 86 undefined on input line 7422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 86 undefined on input line 7427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 86 undefined on input line 74 32. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 86 undefined on input l ine 7437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 86 undefined on input line 74 42. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 86 undefined on input line 7447. Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 7452. [86 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [87] [88] [89] Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 7801. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 9 0 undefined on input line 7822. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 90 unde fined on input line 7827. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 90 undefined on input line 7832. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 9 0 undefined on input line 7837. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 90 undefine d on input line 7842. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 90 undefined on input line 7847. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 90 unde fined on input line 7852. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 90 undefined on input line 7857. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 90 undefi ned on input line 7862. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 90 undefined on input line 7867. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 90 undefined on input line 7872. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 90 undefi ned on input line 7877. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 90 unde fined on input line 7882. Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 7887. [90 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7983--7985 []\T1/ptm/m/n/10 by sorted(set(y)) [91] [92] [93] Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 8266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 94 undefined on input line 8287. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 94 undefined on input line 8292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 94 undefined on input line 8297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 94 undefined on input line 8302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 94 undefined on input line 8307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 94 undefined on input line 8312. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 94 undefined on input line 8317. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 94 undefined on input line 8322. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 94 undefined on input line 8327. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 94 undefined on input line 8332. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 94 undefined on input line 8337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 94 undefined on input line 8342. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 94 undefined on input line 8347. Package longtable Warning: Column widths have changed (longtable) in table 18 on input line 8352. [94 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf>] [95] Underfull \hbox (badness 10000) in paragraph at lines 8448--8450 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 8519--8519 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8671--8671 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 8726. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 98 undefined on input line 8747. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 98 undefined on input line 8752. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 98 undefined on input li ne 8757. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 98 undefined on input line 8762. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 98 undefined on input line 8767. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 98 undefined on input line 8772. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 98 undefined on input line 8777. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 98 undefined on input line 8 782. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 98 undefined on input line 8787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 98 undefined on input line 8792. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 98 undefined on input line 8797. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 98 undefined on input line 8802. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 98 undefined on input line 8807. Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 8812. [98 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [99] Underfull \hbox (badness 10000) in paragraph at lines 8908--8910 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 8979--8979 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [100] [101] Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 9181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 102 undef ined on input line 9202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 102 undefined o n input line 9207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 102 undefined on input line 9212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 102 undef ined on input line 9217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 102 undefined on in put line 9222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 102 undefined on input line 9227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 102 undefined o n input line 9232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 102 undefined on input line 9237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 102 undefined on input line 9242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 102 undefin ed on input line 9247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 102 undefined on input line 9252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 102 undefined o n input line 9257. Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 9262. [102 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [103] [104] [105] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 106 undefined on input line 9572. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 106 undefined on in put line 9577. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 106 undefined on in put line 9582. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 106 undefin ed on input line 9587. Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 9592. Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 9695. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 1 06 undefined on input line 9716. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 106 und efined on input line 9721. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 106 undefined on input line 9726. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 1 06 undefined on input line 9731. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 106 undefin ed on input line 9736. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 106 undefined on input line 9741. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 106 und efined on input line 9746. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 106 undefined on input line 9751. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 106 undef ined on input line 9756. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 106 undefined on input line 9761. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 106 undefined on input line 9766. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 106 undef ined on input line 9771. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 106 und efined on input line 9776. [106 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 9781. [107] Underfull \hbox (badness 10000) in paragraph at lines 9877--9879 []\T1/ptm/m/n/10 by sorted(set(y)) [108] [109] [110 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 10191. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 111 undefined on input line 10212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 111 undefined on input line 10217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 111 undefined on input line 10222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 111 undefined on input line 10227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 111 undefined on input line 10232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 111 undefined on input line 10237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 111 undefined on input line 10242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 111 undefined on input line 10247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 11 undefined on input line 10252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 111 undefined on input line 10257. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 111 undefined on input line 10262. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 11 undefined on input line 10267. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 111 undefined on input line 10272. Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 10277. [111] Underfull \hbox (badness 10000) in paragraph at lines 10373--10375 []\T1/ptm/m/n/10 by sorted(set(y)) [112] [113] [114 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 10692. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 115 undefined on input line 10713. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 115 undefined on input line 10718. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 115 undefined on input line 10723. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 115 undefined on input line 10728. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 115 undefined on input line 10733. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 115 undefined on input line 10738. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 115 undefined on input line 10743. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 115 undefined on input line 10748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 15 undefined on input line 10753. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 115 undefined on input line 10758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 115 undefined on input line 10763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 15 undefined on input line 10768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 115 undefined on input line 10773. Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 10778. [115] Underfull \hbox (badness 10000) in paragraph at lines 10874--10876 []\T1/ptm/m/n/10 by sorted(set(y)) [116] [117] [118] Underfull \hbox (badness 10000) in paragraph at lines 11097--11097 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 11188. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 119 undefined on input line 11209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 119 undefined on input line 11214. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 119 undefined on input line 11219. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 119 undefined on input line 11224. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 119 undefined on input line 11229. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 119 undefined on input line 11234. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 119 undefined on input line 11239. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 119 undefined on input line 1124 4. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 119 undefined on input line 11249. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 119 undefined on input line 11254. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 119 undefined on input line 11259. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 119 undefined on input line 11264. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 119 undefined on input line 11269. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 11274. [119 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [120] Underfull \hbox (badness 10000) in paragraph at lines 11370--11372 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 11441--11441 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [121] [122] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 123 undefined on in put line 11609. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 123 undefin ed on input line 11614. Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 11619. [123 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 11712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 124 undefined on input line 11733. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 124 undefined on input line 11738. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 124 undefined on input line 11743. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 124 undefined on input line 11748. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 124 undefined on input line 11753. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 124 undefined on input line 11758. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 124 undefined on input line 11763. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 124 undefined on input line 11768. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 24 undefined on input line 11773. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 124 undefined on input line 11778. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 24 undefined on input line 11783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 124 undefined on input line 11788. Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 11793. [124] [125] [126] Underfull \hbox (badness 10000) in paragraph at lines 12087--12087 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [127 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 12173. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 128 undefined on input line 12194. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 128 undefined on input line 12199. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 128 undefined on input line 12204. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 128 undefined on input line 12209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 128 undefined on input line 12214. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 128 undefined on input line 12219. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 128 undefined on input line 12224. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 128 undefined on input line 1222 9. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 128 undefined on input line 12234. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 128 undefined on input line 12239. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 128 undefined on input line 12244. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 128 undefined on input line 12249. Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 12254. [128] [129] Overfull \hbox (18.95404pt too wide) in paragraph at lines 12418--12418 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [130] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 131 undefined on input line 12564 . LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline_ from_components:evalml.pipelines.utils.make_pipeline_from_components' on page 1 31 undefined on input line 12569. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 12574. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 131 undefined on input line 125 96. [131 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12613--12613 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12613--12613 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 12614--12618 [] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 132 undefined on input line 12626. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 132 undefined on input line 12664. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 132 undefined on input line 12669. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 132 undefined on input line 126 74. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 12679. Underfull \hbox (badness 10000) in paragraph at lines 12686--12686 []\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 12686--12686 \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 132 undefined on input line 12708. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 132 undefined on input line 12713. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 132 undefined on input line 12718. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 132 und efined on input line 12723. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 132 u ndefined on input line 12728. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 132 u ndefined on input line 12733. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 12738. [132] Underfull \hbox (badness 10000) in paragraph at lines 12745--12745 []\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 , [133] Underfull \hbox (badness 10000) in paragraph at lines 12880--12880 []\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 12880--12880 \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 34 undefined on input line 12911. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 134 und efined on input line 12916. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 34 undefined on input line 12921. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 134 undefin ed on input line 12926. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 134 undefined on input line 12931. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 134 undef ined on input line 12936. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 134 undef ined on input line 12941. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 134 undefined on input line 12946. Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 12951. [134 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [135] [136] Underfull \hbox (badness 10000) in paragraph at lines 13149--13149 []\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 137 u ndefined on input line 13179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 137 undefin ed on input line 13184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 137 u ndefined on input line 13189. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 137 undefined o n input line 13194. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 137 undefined on input line 13199. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 137 und efined on input line 13204. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 137 undefined on input line 13209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 137 undefined on input line 13214. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 13219. [137 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [138] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 139 undefined on input line 13421. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 139 undef ined on input line 13426. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 13431. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 139 undefined on input line 13442. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 139 undefined on input line 13448. [139 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13460--13460 []\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 140 undefined on input line 13467. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 140 undefined on input line 13470. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 140 undefined on input line 13508. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 140 undefined on input line 13513. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 140 undefined on input line 13518. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 140 undefined on input line 13523. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 140 undefined on input line 13528. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 140 undefined on input line 13533. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 140 undefined on inpu t line 13538. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 140 undefined on input line 13543. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 140 undefined on input line 13548. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 140 undefined on in put line 13553. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 140 undefined on input line 13558. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 140 undefined on inpu t line 13563. Package longtable Warning: Column widths have changed (longtable) in table 43 on input line 13568. Underfull \hbox (badness 10000) in paragraph at lines 13575--13575 []\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 , [140] Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 13631. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 41 undefined on input line 13652. Underfull \hbox (badness 7576) in paragraph at lines 13654--13656 []|\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 141 und efined on input line 13657. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 41 undefined on input line 13662. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 141 undefin ed on input line 13667. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 141 undefined on input line 13672. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 141 undef ined on input line 13677. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 141 undef ined on input line 13682. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 141 undefined on input line 13687. Package longtable Warning: Column widths have changed (longtable) in table 45 on input line 13692. [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13895--13895 []\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 46 on input line 13951. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 143 undefined on input line 13972. Underfull \hbox (badness 7576) in paragraph at lines 13974--13976 []|\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 143 undefined on input line 13977. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 143 undefined on input line 13982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 143 und efined on input line 13987. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 143 undefined on input line 13992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 143 u ndefined on input line 13997. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 143 u ndefined on input line 14002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 143 undefined on input line 14007. [143 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 14012. [144] [145] Underfull \hbox (badness 10000) in paragraph at lines 14215--14215 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14215--14215 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 14271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 146 undefined on input line 14292. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 146 undefined on input line 14297. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 146 undefined on input line 14302. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 146 undefined on input line 14307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 146 und efined on input line 14312. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 146 undefined on input line 14317. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 146 undefined on input line 14322. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 146 u ndefined on input line 14327. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 146 u ndefined on input line 14332. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 146 undefined on input line 14337. Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 14342. [146 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [147] [148] Underfull \hbox (badness 10000) in paragraph at lines 14610--14610 []\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 14610--14610 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [149 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 14666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 150 undefined on input line 14687. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 150 undefined on input line 14692. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 150 undefined on input line 14697. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 50 undefined on input line 14702. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 150 undefined on input line 14707. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 150 undefined on input line 14712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 150 undefined on input line 14717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 150 undefined on input line 14722. Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 14727. Overfull \hbox (5.61217pt too wide) in paragraph at lines 14734--14734 []\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 14739--14743 []\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, [150] [151] Underfull \hbox (badness 10000) in paragraph at lines 14945--14945 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14945--14945 \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 14945--14945 \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 14945--14945 \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 , [152 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 15001. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 153 undef ined on input line 15022. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 153 undefined o n input line 15027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 153 undef ined on input line 15032. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 153 undefined on in put line 15037. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 153 undefined on input line 15042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 153 undefined on input line 15047. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 153 undefined on input line 15052. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 153 und efined on input line 15057. Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 15062. Underfull \hbox (badness 10000) in paragraph at lines 15069--15069 []\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 , [153] [154] Overfull \hbox (62.0307pt too wide) in paragraph at lines 15245--15247 [] [155] Underfull \hbox (badness 10000) in paragraph at lines 15283--15283 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15283--15283 \T1/ptm/m/it/10 fill_value=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0 \T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 15339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 156 undefined on input line 15360. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 156 undefined on input line 15365. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 156 undefined on input line 15370. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 156 und efined on input line 15375. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 156 undefined on input line 15380. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 156 u ndefined on input line 15385. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 156 u ndefined on input line 15390. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 156 undefined on input line 15395. Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 15400. [156 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [157] Overfull \hbox (62.0307pt too wide) in paragraph at lines 15579--15581 [] [158] Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 15673. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 159 undefined on input line 15694. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 59 undefined on input line 15699. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 159 undefined on input line 15704. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 159 u ndefined on input line 15709. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 159 undefined on input line 15714. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 159 undefined on input line 15719. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 159 undefined on input line 15724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 159 undefined on input line 15729. Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 15734. [159 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [160] Overfull \hbox (19.00412pt too wide) in paragraph at lines 15932--15932 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \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 15932--15932 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [161 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 15988. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 162 undefined on input line 16009. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 162 undefined on input line 16014. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 162 undefined on input line 16019. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 162 undefined on input line 16024. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 162 undefined on input line 16029. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 162 undefined on input line 16034. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 162 undefined on input line 16039. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 162 undefined on input line 16044. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 162 undefined on input line 16049. Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 16054. Underfull \hbox (badness 10000) in paragraph at lines 16061--16061 []\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 16061--16061 \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 16061--16061 \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 , [162] [163] [164] Overfull \hbox (25.00412pt too wide) in paragraph at lines 16268--16268 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \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 16268--16268 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 16324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 165 undefined on input line 16345. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 165 undefined on input line 16350. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 165 undefined on input line 16355. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 165 undefined on input line 16360. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 165 undefined on input line 16365. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 165 undefined on input line 16370. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 165 undefined on input line 16375. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 165 undefined on input line 16380. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 165 undefined on input line 16385. Package longtable Warning: Column widths have changed (longtable) in table 61 on input line 16390. [165 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16397--16397 []\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 16397--16397 \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 16397--16397 \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 , [166] [167] Underfull \hbox (badness 10000) in paragraph at lines 16604--16604 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 16660. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 168 undefined on input line 16681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 168 undefined on input line 16686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 168 undefined on input line 16691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 168 undefined on input line 16696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 168 undefined on input line 16701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 1 68 undefined on input line 16706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 1 68 undefined on input line 16711. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 168 undefined on input line 16716. Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 16721. [168 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [169] [170] Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 16982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 171 undefined on input line 17003. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 171 undefined on input line 17008. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 171 undefined on input line 17013. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 171 undefined on input line 17018. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 171 undefined on input line 17023. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 171 undefined on input line 17028. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 171 undefined on input line 17033. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 171 undefined on input line 17038. Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 17043. [171 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [172] [173] Underfull \hbox (badness 10000) in paragraph at lines 17252--17252 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 17308. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 174 undefined on input line 17329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 1 74 undefined on input line 17334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 174 undefined on input line 17339. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 174 u ndefined on input line 17344. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 174 undefined on input line 17349. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 174 undefined on input line 17354. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 174 undefined on input line 17359. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 174 undefined on input line 17364. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 17369. [174 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [175] [176] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 177 undefined on input line 17599. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 177 undef ined on input line 17604. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 177 undef ined on input line 17609. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 177 u ndefined on input line 17614. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 177 undefined on input line 17619. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 177 undefined on input line 17624. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 177 undefined o n input line 17629. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 177 undefined on input line 17634. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleClassifier:evalml.pipelines.components.StackedEnsembleClassifier' on page 177 undefined on input line 17639. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeClassifier:evalml.pipelines.components.DecisionTreeClassifier' on page 177 u ndefined on input line 17644. Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 17649. Underfull \hbox (badness 10000) in paragraph at lines 17656--17656 []\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 17656--17656 \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 17656--17656 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [177 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 17736. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 178 undefined on input line 17757. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 178 undefined on input line 17762. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 178 undefined on input line 17767. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 178 undefined on input line 17772. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 178 undefined on input line 17777. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 178 undefined on input line 17782. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 178 undefined on input line 17787. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 178 undefined on input line 17792. Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 17797. Underfull \hbox (badness 10000) in paragraph at lines 17804--17804 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 17804--17804 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [178] [179] Underfull \hbox (badness 10000) in paragraph at lines 17983--17983 []\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 17983--17983 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17983--17983 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 18050. [180 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 181 undefined on input line 18071. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 181 undefined on input line 18076. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 181 undefined on input line 18081. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 181 undefined on input line 18086. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 181 undefined on input line 18091. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 181 undefined on input line 18096. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 181 undefined on input line 18101. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 181 undefined on input line 18106. Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 18111. [181] [182] Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 18364. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 183 undefined on input line 18385. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 183 undefined on input line 18390. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 183 undefined on input line 18395. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 183 undefined on input line 18400. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 183 undefined on input line 18405. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 183 undefined on input line 18410. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 183 undefined on input line 18415. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 183 undefined on input line 18420. Package longtable Warning: Column widths have changed (longtable) in table 74 on input line 18425. [183 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18432--18432 []\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 18432--18432 \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 , [184] [185] Underfull \hbox (badness 10000) in paragraph at lines 18611--18611 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18611--18611 \T1/ptm/m/it/10 1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 18678. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 186 undefined on input line 18699. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 186 undefined on input line 18704. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 186 undefined on input line 18709. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 186 undefined on input line 18714. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 186 undefined on input line 18719. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 186 undefined on input line 18724. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 186 undefined on input line 18729. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 186 undefined on input line 18734. Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 18739. [186 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18746--18746 []\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- [187] Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \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 18925--18925 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [188 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 19002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 189 undefined on input line 19023. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 189 undefined on input line 19028. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 189 undefined on input line 19033. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 189 undefined on input line 19038. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 189 undefined on input line 19043. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 189 undefined on input line 19048. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 189 undefined on input line 19053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 189 undefined on input line 19058. Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 19063. Underfull \hbox (badness 10000) in paragraph at lines 19070--19070 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19070--19070 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [191 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 19316. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 192 undefined on input line 19337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 192 undefined on input line 19342. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 192 undefined on input line 19347. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 192 undefined on input line 19352. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 192 undefined on input line 19357. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 192 undefined on input line 19362. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 192 undefined on input line 19367. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 192 undefined on input line 19372. Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 19377. Underfull \hbox (badness 10000) in paragraph at lines 19384--19384 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19384--19384 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [192] [193] Underfull \hbox (badness 10000) in paragraph at lines 19563--19563 []\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 19563--19563 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19563--19563 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 19640. [194 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 195 undefined on input line 19661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 195 undefined on input line 19666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 195 undefined on input line 19671. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 195 undefined on input line 19676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 195 undefined on input line 19681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 195 undefined on input line 19686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 195 undefined on input line 19691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 195 undefined on input line 19696. Package longtable Warning: Column widths have changed (longtable) in table 82 on input line 19701. [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 19887--19887 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 19961. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 197 undefined on input line 19982. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 197 undefined on input line 19987. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 197 undefined on input line 19992. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 197 undefined on input line 19997. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 197 undefined on input line 20002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 197 undefined on input line 20007. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 197 undefined on input line 20012. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 197 undefined on input line 20017. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 20022. [197 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [198] [199] Overfull \hbox (7.27411pt too wide) in paragraph at lines 20219--20219 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 20286. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.__init__:evalml.pipelines.components.StackedEnsembleCl assifier.__init__' on page 200 undefined on input line 20307. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.clone:evalml.pipelines.components.StackedEnsembleClass ifier.clone' on page 200 undefined on input line 20312. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.describe:evalml.pipelines.components.StackedEnsembleCl assifier.describe' on page 200 undefined on input line 20317. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.fit:evalml.pipelines.components.StackedEnsembleClassif ier.fit' on page 200 undefined on input line 20322. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.load:evalml.pipelines.components.StackedEnsembleClassi fier.load' on page 200 undefined on input line 20327. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict:evalml.pipelines.components.StackedEnsembleCla ssifier.predict' on page 200 undefined on input line 20332. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.predict_proba:evalml.pipelines.components.StackedEnsem bleClassifier.predict_proba' on page 200 undefined on input line 20337. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleClassifier.save:evalml.pipelines.components.StackedEnsembleClassi fier.save' on page 200 undefined on input line 20342. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 20347. [200 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20354--20354 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 201 undefined on input line 20359. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 201 undefined on input line 203 63. [201] [202] Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [203 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 20630. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.__init__:evalml.pipelines.components.DecisionTreeClassifi er.__init__' on page 204 undefined on input line 20651. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.clone:evalml.pipelines.components.DecisionTreeClassifier. clone' on page 204 undefined on input line 20656. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.describe:evalml.pipelines.components.DecisionTreeClassifi er.describe' on page 204 undefined on input line 20661. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.fit:evalml.pipelines.components.DecisionTreeClassifier.fi t' on page 204 undefined on input line 20666. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.load:evalml.pipelines.components.DecisionTreeClassifier.l oad' on page 204 undefined on input line 20671. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict:evalml.pipelines.components.DecisionTreeClassifie r.predict' on page 204 undefined on input line 20676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.predict_proba:evalml.pipelines.components.DecisionTreeCla ssifier.predict_proba' on page 204 undefined on input line 20681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeClassifier.save:evalml.pipelines.components.DecisionTreeClassifier.s ave' on page 204 undefined on input line 20686. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 20691. Underfull \hbox (badness 5147) in paragraph at lines 20698--20698 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20698--20698 \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 , [204] [205] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 206 undefined o n input line 20895. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 206 undefin ed on input line 20900. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 206 undefined on in put line 20905. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 206 undefin ed on input line 20910. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 206 und efined on input line 20915. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 206 undefined on input line 20920. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 206 undefined o n input line 20925. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StackedEn sembleRegressor:evalml.pipelines.components.StackedEnsembleRegressor' on page 2 06 undefined on input line 20930. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DecisionT reeRegressor:evalml.pipelines.components.DecisionTreeRegressor' on page 206 und efined on input line 20935. Package longtable Warning: Column widths have changed (longtable) in table 89 on input line 20940. Underfull \hbox (badness 10000) in paragraph at lines 20947--20947 []\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 20947--20947 \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 20947--20947 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [206 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 21027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 207 undefined on input line 21048. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 207 undefined on input line 21053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 207 undefined on input line 21058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 207 undefined on input line 21063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 207 undefined on input line 21068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 207 undefined on input line 21073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 207 undefined on input line 21078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 207 undefined on input line 21083. Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 21088. Underfull \hbox (badness 10000) in paragraph at lines 21095--21095 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 21095--21095 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 21274--21274 []\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 21274--21274 \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 21274--21274 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 21341. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 209 undefined on input line 21362. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 209 undefined on input line 21367. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 209 undefined on input line 21372. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 209 undefined on input line 21377. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 209 undefined on input line 21382. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 209 undefined on input line 21387. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 209 undefined on input line 21392. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 209 undefined on input line 21397. Package longtable Warning: Column widths have changed (longtable) in table 93 on input line 21402. [209 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [210] [211] Underfull \hbox (badness 10000) in paragraph at lines 21588--21588 []\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 21588--21588 \T1/ptm/m/it/10 ize=False\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/ 10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 21655. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 212 undefined on input line 21676. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 212 undefined on input line 21681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 212 undefined on input line 21686. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 212 undefined on input line 21691. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 2 12 undefined on input line 21696. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 212 undefined on input line 21701. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 212 undefined on input line 21706. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 2 12 undefined on input line 21711. Package longtable Warning: Column widths have changed (longtable) in table 95 on input line 21716. [212 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [213] Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [214 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 21969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 215 undefined on input line 21990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 215 undefined on input line 21995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 215 undefined on input line 22000. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 215 undefined on input line 22005. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 215 undefined on input line 22010. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 215 undefined on input line 22015. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 215 undefined on input line 22020. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 215 undefined on input line 22025. Package longtable Warning: Column widths have changed (longtable) in table 97 on input line 22030. Underfull \hbox (badness 10000) in paragraph at lines 22037--22037 []\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 22037--22037 \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 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 22216--22216 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22216--22216 \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 22216--22216 \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 , [217 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 22283. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 218 undefined on input line 22304. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 218 undefined on input line 22309. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 218 undefined on input line 22314. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 218 undefined on input line 22319. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 218 undefined on input line 22324. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 218 undefined on input line 22329. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 218 undefined on input line 22334. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 218 undefined on input line 22339. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 22344. Underfull \hbox (badness 10000) in paragraph at lines 22351--22351 []\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- [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 22530--22530 []\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 22530--22530 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22530--22530 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 22607. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 220 undefined on input line 22628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 220 undefined on input line 22633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 220 undefined on input line 22638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 2 20 undefined on input line 22643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 220 undefined on input line 22648. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 220 undefined on input line 22653. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 220 undefined on input line 22658. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 220 undefined on input line 22663. [220 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 22668. [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 22854--22854 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 22923. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 223 undefined on input line 22944. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 223 undefined on input line 22949. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 223 undefined on input line 22954. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 223 undefined on input line 22959. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 223 undefined on input line 22964. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 223 undefined on input line 22969. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 223 undefined on input line 22974. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 223 undefined on input line 22979. Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 22984. [223 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [224] [225] Overfull \hbox (1.27411pt too wide) in paragraph at lines 23181--23181 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 23248. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.__init__:evalml.pipelines.components.StackedEnsembleReg ressor.__init__' on page 226 undefined on input line 23269. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.clone:evalml.pipelines.components.StackedEnsembleRegres sor.clone' on page 226 undefined on input line 23274. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.describe:evalml.pipelines.components.StackedEnsembleReg ressor.describe' on page 226 undefined on input line 23279. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.fit:evalml.pipelines.components.StackedEnsembleRegresso r.fit' on page 226 undefined on input line 23284. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.load:evalml.pipelines.components.StackedEnsembleRegress or.load' on page 226 undefined on input line 23289. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict:evalml.pipelines.components.StackedEnsembleRegr essor.predict' on page 226 undefined on input line 23294. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.predict_proba:evalml.pipelines.components.StackedEnsemb leRegressor.predict_proba' on page 226 undefined on input line 23299. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tackedEnsembleRegressor.save:evalml.pipelines.components.StackedEnsembleRegress or.save' on page 226 undefined on input line 23304. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 23309. [226 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23316--23316 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 227 undefined on input line 23321. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 227 undefined on input line 233 25. [227] [228] Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [229 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 23592. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.__init__:evalml.pipelines.components.DecisionTreeRegressor .__init__' on page 230 undefined on input line 23613. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.clone:evalml.pipelines.components.DecisionTreeRegressor.cl one' on page 230 undefined on input line 23618. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.describe:evalml.pipelines.components.DecisionTreeRegressor .describe' on page 230 undefined on input line 23623. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.fit:evalml.pipelines.components.DecisionTreeRegressor.fit' on page 230 undefined on input line 23628. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.load:evalml.pipelines.components.DecisionTreeRegressor.loa d' on page 230 undefined on input line 23633. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict:evalml.pipelines.components.DecisionTreeRegressor. predict' on page 230 undefined on input line 23638. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.predict_proba:evalml.pipelines.components.DecisionTreeRegr essor.predict_proba' on page 230 undefined on input line 23643. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ecisionTreeRegressor.save:evalml.pipelines.components.DecisionTreeRegressor.sav e' on page 230 undefined on input line 23648. Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 23653. Underfull \hbox (badness 10000) in paragraph at lines 23660--23660 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23660--23660 \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 , [230] [231] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 232 undefined on in put line 23858. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 232 undefined on input line 23863. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 232 und efined on input line 23868. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 232 undefined on input line 23873. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 232 undefined on input line 23878 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 232 undefined on inpu t line 23883. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 232 und efined on input line 23888. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 232 undefined on input line 23893. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 232 undefined on input line 23898. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 232 undefined on input line 23903. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 232 undefined on input line 23908. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_pred iction_vs_actual:evalml.model_understanding.graph_prediction_vs_actual' on page 232 undefined on input line 23913. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 23918. Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\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- [232 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23956--23956 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [233] Overfull \hbox (137.00916pt too wide) in paragraph at lines 24070--24070 [] Underfull \hbox (badness 10000) in paragraph at lines 24070--24070 Overfull \hbox (12.23114pt too wide) in paragraph at lines 24071--24071 [] Underfull \hbox (badness 10000) in paragraph at lines 24071--24071 Underfull \hbox (badness 10000) in paragraph at lines 24104--24104 []\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 24104--24104 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [234] Underfull \hbox (badness 10000) in paragraph at lines 24135--24135 []\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 24135--24135 \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 24168--24168 \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 24168--24168 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 235 undefined on input line 24173. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 235 undefined on input line 24182. [235] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 236 undefined on input line 24214. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 236 undefined on input line 24223. Underfull \hbox (badness 10000) in paragraph at lines 24283--24283 []\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 24283--24283 \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 236 undefined on input line 24288. [236] Underfull \hbox (badness 10000) in paragraph at lines 24317--24317 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 237 undefined on input line 24363. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 237 undefined on input line 24368. 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 237 undefined on input line 24373. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 24378. Overfull \hbox (9.96457pt too wide) in paragraph at lines 24385--24385 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [237] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 238 undefined on input line 24392. Overfull \hbox (15.96457pt too wide) in paragraph at lines 24426--24426 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 24426--24426 \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 238 undefined on input line 24433. Overfull \hbox (94.49048pt too wide) in paragraph at lines 24456--24458 [] [238] Overfull \hbox (81.96457pt too wide) in paragraph at lines 24472--24472 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 24472--24472 \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 239 undefined on input line 24479. Overfull \hbox (102.73972pt too wide) in paragraph at lines 24510--24513 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 239 undefined on input line 24546. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 239 undefin ed on input line 24551. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 239 undefined on input line 24556. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 239 undefined on input line 245 61. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 24566. [239] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 240 undefined on input line 24595. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 240 undefined on input line 24600. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 240 undefined on input line 24605. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 240 undefined on input line 24610. Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 24615. Overfull \hbox (10.35059pt too wide) in paragraph at lines 24637--24639 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24657--24657 [] Underfull \hbox (badness 10000) in paragraph at lines 24657--24657 [240] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 241 undefined on input l ine 24766. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 241 undefined on input line 24771. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 241 undefined on input line 24776. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 241 undefined on input line 24781. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 241 undefined on input line 24786. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 241 undefined on input line 24791. [241 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 24796. Overfull \hbox (27.03467pt too wide) in paragraph at lines 24803--24803 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 24803--24803 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 24803--24803 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 24818--24820 [] Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24865--24865 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24865--24865 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 24866--24866 [] Underfull \hbox (badness 10000) in paragraph at lines 24866--24866 [242] [243] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 244 undefined on input line 25002. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 244 undefined on input line 25007. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 244 undefined on input line 25012. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 244 undefined on input line 25017. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 25022. Overfull \hbox (51.03467pt too wide) in paragraph at lines 25029--25029 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 25029--25029 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 25029--25029 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25044--25046 [] Underfull \hbox (badness 10000) in paragraph at lines 25063--25063 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 25063--25063 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 25063--25063 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) [244 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25064--25064 [] Underfull \hbox (badness 10000) in paragraph at lines 25064--25064 [245] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 246 undefined on input line 25172. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 246 undefined on input line 25177. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 246 undefin ed on input line 25182. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 246 undefined on input line 25187. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 25192. Underfull \hbox (badness 10000) in paragraph at lines 25199--25199 []\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 25214--25216 [] Underfull \hbox (badness 10000) in paragraph at lines 25233--25233 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , [246 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25234--25234 [] Underfull \hbox (badness 10000) in paragraph at lines 25234--25234 [247] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 248 undefined on input line 25334. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 248 undefined on input line 25339. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 248 undefined on input line 25344. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 25349. Underfull \hbox (badness 10000) in paragraph at lines 25356--25356 []\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 248 undefined on input li ne 25378. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 248 undefined on input line 25383. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 248 und efined on input line 25388. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 248 u ndefined on input line 25393. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 248 u ndefined on input line 25398. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 248 undefined on input line 254 03. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 248 undefin ed on input line 25408. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 25413. [248 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25466--25468 [] [249] [250] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 251 undefined on inpu t line 25656. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 251 undefined on input line 25661. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 251 undefined on input line 25666. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 51 undefined on input line 25671. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 51 undefined on input line 25676. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 251 undefined on input line 25681. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 251 und efined on input line 25686. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 25691. [251 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25735--25737 [] [252] Underfull \hbox (badness 10000) in paragraph at lines 25902--25902 []\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 , [253 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.__init__:evalml.objectives.CostBenefitMatrix.__init__' on page 254 undef ined on input line 25926. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 254 undefined on input line 25931. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 254 undefined on input line 25936. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 254 undefined on input line 25941. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 254 undefined on input line 25946. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 254 undefined o n input line 25951. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 254 undefined on input line 25956. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 25961. Underfull \hbox (badness 10000) in paragraph at lines 25996--25996 []\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 26011--26013 [] [254] [255] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 256 undefined on input line 26194. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 256 undefined on input line 26199 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 256 undefined on input line 26204. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 256 undefined on input line 26209. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 256 undefined on input line 26214. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 256 undefined on input line 26219. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 256 undefined on input li ne 26224. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 256 undefined on input line 26229. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 256 undefined on input line 26234. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 256 undefined on input line 26239. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 256 undefined on input line 26244. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 256 undefined on input line 26249. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 256 undefined on input line 26254. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 256 undefined on input line 26259. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 256 undefined on input line 26264. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 256 undefined on input line 26269. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 256 undefined on input line 26274. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 256 undefined on input line 26279. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 256 undefined on input line 26284. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 256 undefined on input line 26289. LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 256 undefined on input line 26294. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 256 undefined on input line 26299. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 256 undefined on input line 26304. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 256 undefined on input line 26309. [256 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 26314. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 257 undefined on input line 26343. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 257 undefined on input line 26348. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 257 undefined on input line 26353. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 257 undefined on input line 26358. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 257 undefined on inpu t line 26363. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 57 undefined on input line 26368. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 26373. Underfull \hbox (badness 10000) in paragraph at lines 26380--26380 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [257] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26395--26397 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26443--26443 [] Underfull \hbox (badness 10000) in paragraph at lines 26443--26443 [258] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 259 undefined on input line 26577. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 259 undefined on input line 26582. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 259 undefined on input line 26587. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 259 undefined on input line 26592. [259 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 26597. Underfull \hbox (badness 10000) in paragraph at lines 26604--26604 []\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 26619--26621 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26639--26639 [] Underfull \hbox (badness 10000) in paragraph at lines 26639--26639 [260] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 261 undefined on input line 26745. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 261 undefined on in put line 26750. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 261 undefined on input line 26755. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 261 undefined on input line 26760. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 261 undefined on input line 26765. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 261 undefined on input line 26770. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 26775. [261 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26797--26799 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26845--26845 [] Underfull \hbox (badness 10000) in paragraph at lines 26845--26845 [262] [263 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 264 undefined on input line 26979. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 264 und efined on input line 26984. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 264 undefined on input line 26989 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 264 undefined on input line 26994. Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 26999. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27021--27023 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27041--27041 [] Underfull \hbox (badness 10000) in paragraph at lines 27041--27041 [264] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 265 undefined on input line 27147. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 265 und efined on input line 27152. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 265 undefined on input line 27157 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 265 undefined on input line 27162. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 27167. [265 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27189--27191 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27209--27209 [] Underfull \hbox (badness 10000) in paragraph at lines 27209--27209 [266] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 267 undefined on input line 27315. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 2 67 undefined on input line 27320. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 267 undefined on input line 27325. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 267 und efined on input line 27330. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 27335. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27357--27359 [] [267 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27377--27377 [] Underfull \hbox (badness 10000) in paragraph at lines 27377--27377 [268] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 269 undefined on input line 27483. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 269 undefined on input line 27488. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 269 undefined on input line 27493. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 269 undefined on input line 27498. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 269 u ndefined on input line 27503. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 269 undefined on input line 27508. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 27513. Underfull \hbox (badness 10000) in paragraph at lines 27520--27520 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27520--27520 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 27520--27520 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27535--27537 [] [269 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27583--27583 [] Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 [270] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 271 undefined on input line 27 717. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 271 undefined on input line 27722. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 271 undefined on input line 27727. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 271 undefined on input line 27732. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 27737. [271 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 27744--27744 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 27744--27744 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 27744--27744 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27759--27761 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27779--27779 [] Underfull \hbox (badness 10000) in paragraph at lines 27779--27779 [272] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 273 undefined on input line 27885. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 273 undefined on inpu t line 27890. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 273 undefined on in put line 27895. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 273 undefined on in put line 27900. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 273 undefined on input line 27905. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 273 undefined on input li ne 27910. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 27915. [273 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27937--27939 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27985--27985 [] Underfull \hbox (badness 10000) in paragraph at lines 27985--27985 [274] [275 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 276 undefined on input line 28119. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 276 undef ined on input line 28124. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 276 undefined on input line 28129. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 276 undefined o n input line 28134. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 28139. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28161--28163 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28181--28181 [] Underfull \hbox (badness 10000) in paragraph at lines 28181--28181 [276] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 277 undefined on input line 28287. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 277 undef ined on input line 28292. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 277 undefined on input line 28297. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 277 undefined o n input line 28302. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 28307. [277 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28329--28331 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28349--28349 [] Underfull \hbox (badness 10000) in paragraph at lines 28349--28349 [278] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 279 undefined on input line 28455. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 279 undefined on input line 28460. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 279 undefined on input line 2 8465. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 279 undef ined on input line 28470. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 28475. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28497--28499 [] [279 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28517--28517 [] Underfull \hbox (badness 10000) in paragraph at lines 28517--28517 [280] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 281 undefined on input line 28623. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 281 undefined on input line 28628. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 281 undefined on input line 28633. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 281 undefined on input line 28638. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 281 undefined on input line 28643. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 281 undefined on input line 28648. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 28653. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28675--28677 [] [281 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28723--28723 [] Underfull \hbox (badness 10000) in paragraph at lines 28723--28723 [282] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 283 undefined on input line 28857. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 283 undefined on input line 28862. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 283 undefined o n input line 28867. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 283 undefined on input line 28872. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 28877. Underfull \hbox (badness 10000) in paragraph at lines 28884--28884 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [283 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28899--28901 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28919--28919 [] Underfull \hbox (badness 10000) in paragraph at lines 28919--28919 [284] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 285 undefined on input line 29025. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 285 und efined on input line 29030. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 285 u ndefined on input line 29035. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 285 u ndefined on input line 29040. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 285 undefined on input line 290 45. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 285 undefin ed on input line 29050. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 29055. [285 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29077--29079 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29125--29125 [] Underfull \hbox (badness 10000) in paragraph at lines 29125--29125 [286] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 287 undefined on input line 29259. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 287 undefined on input line 29264. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 287 undefined on input line 29269. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 287 undefined on input line 29274. [287 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 29279. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29301--29303 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29321--29321 [] Underfull \hbox (badness 10000) in paragraph at lines 29321--29321 [288] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 289 undefined on input line 29427. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 289 und efined on input line 29432. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 289 u ndefined on input line 29437. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 289 u ndefined on input line 29442. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 289 undefined on input line 294 47. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 289 undefin ed on input line 29452. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 29457. [289 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29479--29481 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29527--29527 [] Underfull \hbox (badness 10000) in paragraph at lines 29527--29527 [290] [291 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 292 undefined on input line 29661. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 292 undefined on input line 29666. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 292 undefined on inpu t line 29671. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 2 92 undefined on input line 29676. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 29681. Underfull \hbox (badness 10000) in paragraph at lines 29688--29688 []\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 29703--29705 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29723--29723 [] Underfull \hbox (badness 10000) in paragraph at lines 29723--29723 [292] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 293 undefined on input line 29829. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 293 undefined on input line 29834. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 293 undefined on inpu t line 29839. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 2 93 undefined on input line 29844. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 29849. Underfull \hbox (badness 10000) in paragraph at lines 29856--29856 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [293 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29871--29873 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29891--29891 [] Underfull \hbox (badness 10000) in paragraph at lines 29891--29891 [294] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 295 undefined on input line 29997. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 295 undefined on input line 30002. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 295 undefined o n input line 30007. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 295 undefined on input line 30012. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 30017. Underfull \hbox (badness 10000) in paragraph at lines 30024--30024 []\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 30039--30041 [] [295 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30059--30059 [] Underfull \hbox (badness 10000) in paragraph at lines 30059--30059 [296] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 297 undefined on input line 30165. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 297 undefined on input line 30170. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 297 undefin ed on input line 30175. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 297 undefin ed on input line 30180. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 297 undefined on input line 30185. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 297 undefined on input line 30190. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 30195. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30217--30219 [] [297 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30265--30265 [] Underfull \hbox (badness 10000) in paragraph at lines 30265--30265 [298] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 299 undefined on input line 30399. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 2 99 undefined on input line 30404. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 299 undefined on input line 30409. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 299 und efined on input line 30414. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 30419. [299 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30441--30443 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30461--30461 [] Underfull \hbox (badness 10000) in paragraph at lines 30461--30461 [300] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 301 undefined on input line 30567. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 3 01 undefined on input line 30572. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 301 undefined on input line 30577. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 301 und efined on input line 30582. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 30587. Overfull \hbox (10.35059pt too wide) in paragraph at lines 30609--30611 [] [301 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30629--30629 [] Underfull \hbox (badness 10000) in paragraph at lines 30629--30629 [302] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 303 undefined on input line 30735. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 303 undefined on input line 30740. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 303 undefined on inpu t line 30745. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 3 03 undefined on input line 30750. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 30755. Underfull \hbox (badness 10000) in paragraph at lines 30762--30762 []\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 30777--30779 [] [303 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30797--30797 [] Underfull \hbox (badness 10000) in paragraph at lines 30797--30797 [304] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 305 undefined on input line 30897. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 305 undefined on input line 30902. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 305 undefined on input line 30907. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 305 undefined on input line 309 12. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 305 undefined on input line 30917. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 305 undefined on input line 30922. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 305 undefined on input line 30927. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 305 undefined on input line 3 0932. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 305 undefined on input line 30937. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 30942. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 305 undefined on input line 30971. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 305 undefined on in put line 30976. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 305 undefined on input line 30981. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 305 undefined on input li ne 30986. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 30991. [305 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31013--31015 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31033--31033 [] Underfull \hbox (badness 10000) in paragraph at lines 31033--31033 [306] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 307 undefined on input line 31139. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 307 undefined on input line 31144. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 307 undefined on input line 31149. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 307 undefined on input line 31154. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 31159. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31181--31183 [] [307 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31201--31201 [] Underfull \hbox (badness 10000) in paragraph at lines 31201--31201 [308] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 309 undefined on input line 31307. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 309 undefined on input line 31312. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 309 undefined on input line 31317. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 309 undefined on input line 31322. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 31327. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31349--31351 [] [309 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31369--31369 [] Underfull \hbox (badness 10000) in paragraph at lines 31369--31369 [310] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 311 undefined on input line 31477. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 311 undefined on input line 31482. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 311 undefin ed on input line 31487. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 311 undefined on input line 31492. Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 31497. Underfull \hbox (badness 10000) in paragraph at lines 31504--31504 []\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 31519--31521 [] [311 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31539--31539 [] Underfull \hbox (badness 10000) in paragraph at lines 31539--31539 [312] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 313 undefined on input line 31645. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 313 und efined on input line 31650. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 313 undefined on input line 31655 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 313 undefined on input line 31660. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 31665. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31687--31689 [] [313 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31707--31707 [] Underfull \hbox (badness 10000) in paragraph at lines 31707--31707 [314] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 315 undefined on input line 31813. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 315 und efined on input line 31818. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 315 undefined on input line 31823 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 315 undefined on input line 31828. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 31833. Overfull \hbox (10.35059pt too wide) in paragraph at lines 31855--31857 [] [315 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31875--31875 [] Underfull \hbox (badness 10000) in paragraph at lines 31875--31875 [316] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 317 undefined on input line 31981. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 3 17 undefined on input line 31986. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 317 undefined on input line 31991. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 317 und efined on input line 31996. Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 32001. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32023--32025 [] [317 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32043--32043 [] Underfull \hbox (badness 10000) in paragraph at lines 32043--32043 [318] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 319 undefined on input line 32149. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 319 undefined on input line 32154. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 319 undef ined on input line 32159. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 319 undefined on input line 32164. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 32169. Overfull \hbox (10.35059pt too wide) in paragraph at lines 32191--32193 [] [319 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32211--32211 [] Underfull \hbox (badness 10000) in paragraph at lines 32211--32211 [320] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 321 undefined on input line 32319. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 321 undefined on input line 32324. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 321 undefined on input line 32329. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 321 undefined on input line 32334. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 32339. Underfull \hbox (badness 10000) in paragraph at lines 32346--32346 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32346--32346 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 32346--32346 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32361--32363 [] [321 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32381--32381 [] Underfull \hbox (badness 10000) in paragraph at lines 32381--32381 [322] LaTeX Warning: Hyper reference `generated/evalml.objectives.get_all_objective_n ames:evalml.objectives.get_all_objective_names' on page 323 undefined on input line 32481. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objectives :evalml.objectives.get_core_objectives' on page 323 undefined on input line 324 86. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_core_objective_ names:evalml.objectives.get_core_objective_names' on page 323 undefined on inpu t line 32491. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_non_core_object ives:evalml.objectives.get_non_core_objectives' on page 323 undefined on input line 32496. LaTeX Warning: Hyper reference `generated/evalml.objectives.get_objective:evalm l.objectives.get_objective' on page 323 undefined on input line 32501. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 32506. [323 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 324 undefined on input line 32596. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 324 undefined on input line 32638. Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 32643. [324] LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 325 undefined on input line 32679. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 325 undefined on input li ne 32684. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 32689. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 325 undefined on input line 32700. Overfull \hbox (42.52957pt too wide) in paragraph at lines 32716--32718 [] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 325 undefined on input line 32763. [325 <./inheritance-800f72e1e3fc909aa00885d14a1ab8c41130f2b3.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 32768. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 326 undefined on input line 32804. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 32809. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 326 undefined on input line 32820. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 326 undefined on input line 32851. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 326 undefined on input line 32856. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 326 undefined on input line 32861. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 326 undefined on input line 32866. Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 32871. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 326 undefined on input line 32902. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 326 undefined on input line 32907. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 326 und efined on input line 32912. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 326 undefined on input line 32917. [326 <./inheritance-4e49ff6e31c072a4795b0f5d84b13eacc54b01d3.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 32922. [327] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 328 undefined on input line 330 45. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 328 undefined on input line 33050. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 328 undefined on input line 33055. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 328 undefined on input line 33060 . Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 33065. [328 <./inheritance-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33166--33166 []\T1/ptm/m/it/10 pipeline_hyperparameter_ranges\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 n_points=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .__init__:evalml.tuners.GridSearchTuner.__init__' on page 329 undefined on inpu t line 33196. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 329 undefined on input line 332 01. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 329 undefined on input line 33206. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 329 undefined on input line 33211. [329 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 33216. [330] Underfull \hbox (badness 10000) in paragraph at lines 33324--33324 []\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 33324--33324 \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 331 undefined on input line 33354. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 331 undefined on input line 33359. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 331 undefined on input line 33364. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 331 undefined on in put line 33369. Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 33374. Underfull \hbox (badness 10000) in paragraph at lines 33381--33381 []\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 , [331 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [332] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 333 undefined on input line 33506. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 333 undefined on input line 33511. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 333 undefined on input line 3 3516. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 333 undefined on input line 335 21. LaTeX Warning: Hyper reference `generated/evalml.data_checks.TargetLeakageDataC heck:evalml.data_checks.TargetLeakageDataCheck' on page 333 undefined on input line 33526. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 333 undefined on input line 33531 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 333 undefined on input line 3 3536. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 333 undefined on inpu t line 33541. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 33546. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 33581. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 333 undefined on input line 33602. [333 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 33607. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 334 undefined on input line 33630. Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 33678. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 334 undefined on input line 33699. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 334 undefined on input line 33704. Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 33709. [334 <./inheritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 335 undefined on input line 33743. [335 <./inheritance-415e0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 33799. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 336 undefined on input line 33820. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 336 undefined on input line 33825. Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 33830. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 336 undefined on input line 33870. [336] Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 33928. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 337 u ndefined on input line 33949. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 337 u ndefined on input line 33954. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 33959. [337 <./inheritance-7986862560482139809a59738aa0d3a715dad7f7.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 34065. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.__init__:evalml.data_checks.TargetLeakageDataCheck.__init__' on pa ge 338 undefined on input line 34086. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.TargetLeak ageDataCheck.validate:evalml.data_checks.TargetLeakageDataCheck.validate' on pa ge 338 undefined on input line 34091. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 34096. [338 <./inheritance-8137cd764f1a852cea7f3a5da0a96fec115c8c39.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 339 undefined on input line 34139. [339] Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 34200. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 340 und efined on input line 34221. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 340 und efined on input line 34226. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 34231. Underfull \hbox (badness 10000) in paragraph at lines 34241--34243 []\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 [340 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 34327. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 341 undefined on input line 34348. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 341 undefined on input line 34353. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 34358. [341 <./inheritance-72007caa0939d731540e614fb6d9eec807dcbcb9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 342 undefined on input line 34399. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 342 undefined on input line 34399. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 34447. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 342 undefined on input line 34468. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 342 undefined on input line 34473. [342 <./inheritance-f5b5a447a229385d3094171e9a86c8e3221f6f8d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 180 on input line 34478. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 343 undefined on input line 34520. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 343 undefined on input line 34561. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 343 undefined on input line 34566 . [343 <./inheritance-190eed31430f058fca34ee45fdb5e009a6919d9b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 181 on input line 34571. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 344 undefined on inpu t line 34600. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 344 undefined on inpu t line 34605. Package longtable Warning: Column widths have changed (longtable) in table 182 on input line 34610. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 344 undefined on input line 34621. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 344 undefined on input line 34649. [344 <./inheritance-0f00587d1d48e49dc0402ad09ee3fbb11ae512cf.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 345 und efined on input line 34693. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 345 und efined on input line 34698. Package longtable Warning: Column widths have changed (longtable) in table 183 on input line 34703. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 345 undefined on input line 34739. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 345 undefined on input line 34775. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 345 undefined on input line 34780. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 345 undefined on input line 34785. [345 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 184 on input line 34790. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 346 undef ined on input line 34825. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 346 undefin ed on input line 34830. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 346 undefined on input line 34835. Package longtable Warning: Column widths have changed (longtable) in table 185 on input line 34840. [346] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 347 undefined on input line 34927. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 347 undefined o n input line 34932. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 347 undefined on input line 34937. Package longtable Warning: Column widths have changed (longtable) in table 186 on input line 34942. [347 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 348 undef ined on input line 35029. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 348 undefin ed on input line 35034. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 348 undefined on input line 35039. Package longtable Warning: Column widths have changed (longtable) in table 187 on input line 35044. [348 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 349 undefined on input line 35119. Package longtable Warning: Column widths have changed (longtable) in table 188 on input line 35124. LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 349 undefined on input line 35166. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 349 undefined on input line 35171. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 349 undefined on input line 35176. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 349 undefined on input line 35181. Package longtable Warning: Column widths have changed (longtable) in table 189 on input line 35186. [349 <./inheritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf> <./inheritanc e-b5016d55beda23cfa32620516da2a528bf22c054.pdf pdfTeX warning: pdflatex (file ./inheritance-b5016d55beda23cfa32620516da2a528bf 22c054.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [350] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 35281--35282 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35296--35297 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in [351] Underfull \hbox (badness 10000) in paragraph at lines 35411--35412 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [352] Underfull \hbox (badness 10000) in paragraph at lines 35491--35492 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [353] [354] Underfull \hbox (badness 10000) in paragraph at lines 35705--35708 [] [355] [356] Underfull \hbox (badness 10000) in paragraph at lines 35927--35928 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 35954--35955 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and [357] Underfull \hbox (badness 10000) in paragraph at lines 35957--35958 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 35981--35982 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 36045--36046 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. [358] Underfull \hbox (badness 10000) in paragraph at lines 36089--36090 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [359] Underfull \hbox (badness 10000) in paragraph at lines 36179--36180 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [360] Underfull \hbox (badness 10000) in paragraph at lines 36257--36258 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 36263--36264 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 36299--36300 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 36315--36316 []\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 [361] Underfull \hbox (badness 10000) in paragraph at lines 36401--36402 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [362] [363] Underfull \hbox (badness 10000) in paragraph at lines 36638--36639 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. [364] Overfull \hbox (32.69456pt too wide) in paragraph at lines 36644--36645 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [365] Underfull \hbox (badness 10000) in paragraph at lines 36778--36779 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Underfull \hbox (badness 10000) in paragraph at lines 36796--36797 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 36838--36839 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into [366] Underfull \hbox (badness 10000) in paragraph at lines 36841--36842 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. Underfull \hbox (badness 8113) in paragraph at lines 36912--36913 []\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 36918--36919 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 36936--36937 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [367] [368] Underfull \hbox (badness 10000) in paragraph at lines 37097--37098 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [369] [370] [371] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [372] (./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 (376 pages, 1763838 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 (1030 entries accepted, 0 rejected). Sorting entries...........done (11114 comparisons). Generating output file feature-labs-inc-evalml.ind.....done (1898 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. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] Underfull \vbox (badness 1371) detected at line 513 [6] [7] [8] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.718 ...t=2800.0\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.718 ...t=2800.0\sphinxpxdimen]{{start_20_0}.svg} [9] [10] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [11] [12] [13] [14] [15] [16] [17] [18] [19] Overfull \vbox (0.52579pt too high) detected at line 1754 [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (0.52579pt too high) detected at line 2419 [27] [28] Underfull \vbox (badness 10000) detected at line 2605 Overfull \vbox (2.88167pt too high) detected at line 2605 [29] [30] Chapter 4. [31] [32] Underfull \hbox (badness 10000) in paragraph at lines 2949--2950 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [33] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3031 ...]{{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.3031 ...]{{keyboard_interrupt_demo_updated}.gif} [34] Overfull \vbox (5.03935pt too high) detected at line 3137 [35] [36] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [37] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [38] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [39] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [40] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [41] Underfull \hbox (badness 10000) in paragraph at lines 3601--3602 []\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 , [42] [43] [44] Underfull \vbox (badness 10000) detected at line 3802 Overfull \vbox (2.68169pt too high) detected at line 3802 [45] [46] [47] [48] [49] [50] [51] [52] Underfull \hbox (badness 10000) in paragraph at lines 4363--4365 \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 , [53] [54] [55] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4631 ...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.4631 ...xdimen]{{user_guide_pipelines_16_0}.svg} [56] [57] [58] [59] [60] [61] [62] [63] [64] Underfull \vbox (badness 10000) detected at line 5536 Overfull \vbox (2.68169pt too high) detected at line 5536 [65] Overfull \vbox (2.68167pt too high) detected at line 5559 [66] [67] [68] Underfull \vbox (badness 10000) detected at line 5770 Overfull \vbox (2.68169pt too high) detected at line 5770 [69] [70] Underfull \hbox (badness 10000) in paragraph at lines 5832--5833 \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 [71] [72] [73] [74] Chapter 5. [75] [76] [77] Underfull \hbox (badness 10000) in paragraph at lines 6487--6487 []\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 6487--6487 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 6487--6487 \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 6487--6487 \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 6487--6487 \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 6487--6487 \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 - Underfull \hbox (badness 10000) in paragraph at lines 6551--6551 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6551--6551 \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 6551--6551 \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 6551--6551 \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 6551--6551 \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 , [78] Underfull \hbox (badness 7869) in paragraph at lines 6599--6603 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [79] [80] [81] Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [82 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6999--6999 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [83] Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 7153--7153 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [84 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [85] Underfull \hbox (badness 5908) in paragraph at lines 7306--7308 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [86 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [87] [88] [89] [90 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7983--7985 []\T1/ptm/m/n/10 by sorted(set(y)) [91] [92] [93] [94 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf> ] [95] Underfull \hbox (badness 10000) in paragraph at lines 8448--8450 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 8519--8519 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8671--8671 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [99] Underfull \hbox (badness 10000) in paragraph at lines 8908--8910 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 8979--8979 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [100] [101] [102 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [103] [104] [105] [106 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [107] Underfull \hbox (badness 10000) in paragraph at lines 9877--9879 []\T1/ptm/m/n/10 by sorted(set(y)) [108] [109] [110 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 10373--10375 []\T1/ptm/m/n/10 by sorted(set(y)) [112] [113] [114 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10874--10876 []\T1/ptm/m/n/10 by sorted(set(y)) [116] [117] [118] Underfull \hbox (badness 10000) in paragraph at lines 11097--11097 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [119 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [120] Underfull \hbox (badness 10000) in paragraph at lines 11370--11372 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 11441--11441 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [121] [122] [123 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [124] [125] [126] Underfull \hbox (badness 10000) in paragraph at lines 12087--12087 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [127 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [128] [129] Overfull \hbox (18.95404pt too wide) in paragraph at lines 12418--12418 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [130] [131 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12613--12613 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12613--12613 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 12614--12618 [] Underfull \hbox (badness 10000) in paragraph at lines 12686--12686 []\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 12686--12686 \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 , [132] Underfull \hbox (badness 10000) in paragraph at lines 12745--12745 []\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 , [133] Underfull \hbox (badness 10000) in paragraph at lines 12880--12880 []\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 12880--12880 \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 , [134 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [135] [136] Underfull \hbox (badness 10000) in paragraph at lines 13149--13149 []\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 , [137 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [138] [139 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13460--13460 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13575--13575 []\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 , [140] Underfull \hbox (badness 7576) in paragraph at lines 13654--13656 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13895--13895 []\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 13974--13976 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [143 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] [144] [145] Underfull \hbox (badness 10000) in paragraph at lines 14215--14215 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14215--14215 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [146 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [147] [148] Underfull \hbox (badness 10000) in paragraph at lines 14610--14610 []\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 14610--14610 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [149 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Overfull \hbox (5.61217pt too wide) in paragraph at lines 14734--14734 []\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 14739--14743 []\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, [150] [151] Underfull \hbox (badness 10000) in paragraph at lines 14945--14945 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14945--14945 \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 14945--14945 \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 14945--14945 \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 , [152 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15069--15069 []\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 , [153] [154] Overfull \hbox (62.0307pt too wide) in paragraph at lines 15245--15247 [] [155] Underfull \hbox (badness 10000) in paragraph at lines 15283--15283 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15283--15283 \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 , [156 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [157] Overfull \hbox (62.0307pt too wide) in paragraph at lines 15579--15581 [] [158] [159 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [160] Overfull \hbox (19.00412pt too wide) in paragraph at lines 15932--15932 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \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 15932--15932 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [161 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16061--16061 []\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 16061--16061 \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 16061--16061 \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 , [162] [163] [164] Overfull \hbox (25.00412pt too wide) in paragraph at lines 16268--16268 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \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 16268--16268 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [165 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16397--16397 []\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 16397--16397 \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 16397--16397 \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 , [166] [167] Underfull \hbox (badness 10000) in paragraph at lines 16604--16604 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [168 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [169] [170] [171 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [172] [173] Underfull \hbox (badness 10000) in paragraph at lines 17252--17252 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [174 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 17656--17656 []\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 17656--17656 \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 17656--17656 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [177 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17804--17804 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 17804--17804 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [178] [179] Underfull \hbox (badness 10000) in paragraph at lines 17983--17983 []\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 17983--17983 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17983--17983 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [180 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [181] [182] Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [183 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18432--18432 []\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 18432--18432 \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 , [184] [185] Underfull \hbox (badness 10000) in paragraph at lines 18611--18611 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18611--18611 \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 , [186 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18746--18746 []\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- [187] Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \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 18925--18925 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [188 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19070--19070 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19070--19070 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [191 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19384--19384 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19384--19384 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [192] [193] Underfull \hbox (badness 10000) in paragraph at lines 19563--19563 []\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 19563--19563 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19563--19563 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [194 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 19887--19887 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [197 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [198] [199] Overfull \hbox (7.27411pt too wide) in paragraph at lines 20219--20219 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [200 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20354--20354 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [201] [202] Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [203 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 20698--20698 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20698--20698 \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 , [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 20947--20947 []\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 20947--20947 \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 20947--20947 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [206 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21095--21095 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 21095--21095 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 21274--21274 []\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 21274--21274 \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 21274--21274 \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 , [209 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [210] [211] Underfull \hbox (badness 10000) in paragraph at lines 21588--21588 []\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 21588--21588 \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- [212 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [213] Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [214 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22037--22037 []\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 22037--22037 \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 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 22216--22216 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22216--22216 \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 22216--22216 \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 , [217 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22351--22351 []\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- [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 22530--22530 []\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 22530--22530 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22530--22530 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [220 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 22854--22854 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [223 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [224] [225] Overfull \hbox (1.27411pt too wide) in paragraph at lines 23181--23181 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [226 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23316--23316 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [227] [228] Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [229 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23660--23660 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23660--23660 \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 , [230] [231] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\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- [232 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23956--23956 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [233] Overfull \hbox (137.00916pt too wide) in paragraph at lines 24070--24070 [] Underfull \hbox (badness 10000) in paragraph at lines 24070--24070 Overfull \hbox (12.23114pt too wide) in paragraph at lines 24071--24071 [] Underfull \hbox (badness 10000) in paragraph at lines 24071--24071 Underfull \hbox (badness 10000) in paragraph at lines 24104--24104 []\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 24104--24104 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [234] Underfull \hbox (badness 10000) in paragraph at lines 24135--24135 []\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 24135--24135 \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 24168--24168 \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 24168--24168 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [235] Underfull \hbox (badness 10000) in paragraph at lines 24283--24283 []\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 24283--24283 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [236] Underfull \hbox (badness 10000) in paragraph at lines 24317--24317 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Overfull \hbox (9.96457pt too wide) in paragraph at lines 24385--24385 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [237] Overfull \hbox (15.96457pt too wide) in paragraph at lines 24426--24426 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 24456--24458 [] [238] Overfull \hbox (81.96457pt too wide) in paragraph at lines 24472--24472 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 24510--24513 [] [239] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24637--24639 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24657--24657 [] Underfull \hbox (badness 10000) in paragraph at lines 24657--24657 [240] [241 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 24803--24803 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 24803--24803 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 24803--24803 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 24818--24820 [] Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24865--24865 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24865--24865 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 24866--24866 [] Underfull \hbox (badness 10000) in paragraph at lines 24866--24866 [242] [243] Overfull \hbox (51.03467pt too wide) in paragraph at lines 25029--25029 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 25029--25029 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 25029--25029 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25044--25046 [] Underfull \hbox (badness 10000) in paragraph at lines 25063--25063 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 25063--25063 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 25063--25063 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) [244 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25064--25064 [] Underfull \hbox (badness 10000) in paragraph at lines 25064--25064 [245] Underfull \hbox (badness 10000) in paragraph at lines 25199--25199 []\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 25214--25216 [] Underfull \hbox (badness 10000) in paragraph at lines 25233--25233 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , [246 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25234--25234 [] Underfull \hbox (badness 10000) in paragraph at lines 25234--25234 [247] Underfull \hbox (badness 10000) in paragraph at lines 25356--25356 []\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 , [248 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25466--25468 [] [249] [250] [251 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25735--25737 [] [252] Underfull \hbox (badness 10000) in paragraph at lines 25902--25902 []\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 , [253 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25996--25996 []\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 26011--26013 [] [254] [255] [256 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26380--26380 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [257] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26395--26397 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26443--26443 [] Underfull \hbox (badness 10000) in paragraph at lines 26443--26443 [258] [259 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26604--26604 []\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 26619--26621 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26639--26639 [] Underfull \hbox (badness 10000) in paragraph at lines 26639--26639 [260] [261 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26797--26799 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26845--26845 [] Underfull \hbox (badness 10000) in paragraph at lines 26845--26845 [262] [263 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27021--27023 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27041--27041 [] Underfull \hbox (badness 10000) in paragraph at lines 27041--27041 [264] [265 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27189--27191 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27209--27209 [] Underfull \hbox (badness 10000) in paragraph at lines 27209--27209 [266] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27357--27359 [] [267 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27377--27377 [] Underfull \hbox (badness 10000) in paragraph at lines 27377--27377 [268] Underfull \hbox (badness 10000) in paragraph at lines 27520--27520 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27520--27520 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 27520--27520 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27535--27537 [] [269 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27583--27583 [] Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 [270] [271 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 27744--27744 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 27744--27744 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 27744--27744 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27759--27761 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27779--27779 [] Underfull \hbox (badness 10000) in paragraph at lines 27779--27779 [272] [273 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27937--27939 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27985--27985 [] Underfull \hbox (badness 10000) in paragraph at lines 27985--27985 [274] [275 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28161--28163 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28181--28181 [] Underfull \hbox (badness 10000) in paragraph at lines 28181--28181 [276] [277 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28329--28331 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28349--28349 [] Underfull \hbox (badness 10000) in paragraph at lines 28349--28349 [278] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28497--28499 [] [279 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28517--28517 [] Underfull \hbox (badness 10000) in paragraph at lines 28517--28517 [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28675--28677 [] [281 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28723--28723 [] Underfull \hbox (badness 10000) in paragraph at lines 28723--28723 [282] Underfull \hbox (badness 10000) in paragraph at lines 28884--28884 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [283 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28899--28901 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28919--28919 [] Underfull \hbox (badness 10000) in paragraph at lines 28919--28919 [284] [285 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29077--29079 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29125--29125 [] Underfull \hbox (badness 10000) in paragraph at lines 29125--29125 [286] [287 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29301--29303 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29321--29321 [] Underfull \hbox (badness 10000) in paragraph at lines 29321--29321 [288] [289 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29479--29481 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29527--29527 [] Underfull \hbox (badness 10000) in paragraph at lines 29527--29527 [290] [291 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29688--29688 []\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 29703--29705 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29723--29723 [] Underfull \hbox (badness 10000) in paragraph at lines 29723--29723 [292] Underfull \hbox (badness 10000) in paragraph at lines 29856--29856 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [293 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29871--29873 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29891--29891 [] Underfull \hbox (badness 10000) in paragraph at lines 29891--29891 [294] Underfull \hbox (badness 10000) in paragraph at lines 30024--30024 []\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 30039--30041 [] [295 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30059--30059 [] Underfull \hbox (badness 10000) in paragraph at lines 30059--30059 [296] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30217--30219 [] [297 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30265--30265 [] Underfull \hbox (badness 10000) in paragraph at lines 30265--30265 [298] [299 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30441--30443 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30461--30461 [] Underfull \hbox (badness 10000) in paragraph at lines 30461--30461 [300] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30609--30611 [] [301 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30629--30629 [] Underfull \hbox (badness 10000) in paragraph at lines 30629--30629 [302] Underfull \hbox (badness 10000) in paragraph at lines 30762--30762 []\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 30777--30779 [] [303 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30797--30797 [] Underfull \hbox (badness 10000) in paragraph at lines 30797--30797 [304] [305 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31013--31015 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31033--31033 [] Underfull \hbox (badness 10000) in paragraph at lines 31033--31033 [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31181--31183 [] [307 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31201--31201 [] Underfull \hbox (badness 10000) in paragraph at lines 31201--31201 [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31349--31351 [] [309 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31369--31369 [] Underfull \hbox (badness 10000) in paragraph at lines 31369--31369 [310] Underfull \hbox (badness 10000) in paragraph at lines 31504--31504 []\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 31519--31521 [] [311 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31539--31539 [] Underfull \hbox (badness 10000) in paragraph at lines 31539--31539 [312] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31687--31689 [] [313 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31707--31707 [] Underfull \hbox (badness 10000) in paragraph at lines 31707--31707 [314] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31855--31857 [] [315 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31875--31875 [] Underfull \hbox (badness 10000) in paragraph at lines 31875--31875 [316] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32023--32025 [] [317 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32043--32043 [] Underfull \hbox (badness 10000) in paragraph at lines 32043--32043 [318] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32191--32193 [] [319 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32211--32211 [] Underfull \hbox (badness 10000) in paragraph at lines 32211--32211 [320] Underfull \hbox (badness 10000) in paragraph at lines 32346--32346 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32346--32346 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 32346--32346 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32361--32363 [] [321 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32381--32381 [] Underfull \hbox (badness 10000) in paragraph at lines 32381--32381 [322] [323 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [324] Overfull \hbox (42.52957pt too wide) in paragraph at lines 32716--32718 [] [325 <./inheritance-800f72e1e3fc909aa00885d14a1ab8c41130f2b3.pdf>] [326 <./inhe ritance-4e49ff6e31c072a4795b0f5d84b13eacc54b01d3.pdf>] [327] [328 <./inheritanc e-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33166--33166 []\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- [329 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [330] Underfull \hbox (badness 10000) in paragraph at lines 33324--33324 []\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 33324--33324 \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 33381--33381 []\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 , [331 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [332] [333 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [334 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [335 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [336] [337 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [338 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [339] Underfull \hbox (badness 10000) in paragraph at lines 34241--34243 []\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 [340 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [341 <./inhe ritance-72007caa0939d731540e614fb6d9eec807dcbcb9.pdf>] [342 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] [343 <./inheritance-190eed31430f058f ca34ee45fdb5e009a6919d9b.pdf>] [344 <./inheritance-0f00587d1d48e49dc0402ad09ee3 fbb11ae512cf.pdf>] [345 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97 .pdf>] [346] [347 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [348 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] [349 <./inhe ritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf> <./inheritance-b5016d55be da23cfa32620516da2a528bf22c054.pdf pdfTeX warning: pdflatex (file ./inheritance-b5016d55beda23cfa32620516da2a528bf 22c054.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [350] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 35281--35282 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35296--35297 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in [351] Underfull \hbox (badness 10000) in paragraph at lines 35411--35412 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [352] Underfull \hbox (badness 10000) in paragraph at lines 35491--35492 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [353] [354] Underfull \hbox (badness 10000) in paragraph at lines 35705--35708 [] [355] [356] Underfull \hbox (badness 10000) in paragraph at lines 35927--35928 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 35954--35955 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and [357] Underfull \hbox (badness 10000) in paragraph at lines 35957--35958 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 35981--35982 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 36045--36046 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. [358] Underfull \hbox (badness 10000) in paragraph at lines 36089--36090 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [359] Underfull \hbox (badness 10000) in paragraph at lines 36179--36180 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [360] Underfull \hbox (badness 10000) in paragraph at lines 36257--36258 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 36263--36264 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 36299--36300 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 36315--36316 []\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 [361] Underfull \hbox (badness 10000) in paragraph at lines 36401--36402 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [362] [363] Underfull \hbox (badness 10000) in paragraph at lines 36638--36639 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. [364] Overfull \hbox (32.69456pt too wide) in paragraph at lines 36644--36645 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [365] Underfull \hbox (badness 10000) in paragraph at lines 36778--36779 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Underfull \hbox (badness 10000) in paragraph at lines 36796--36797 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 36838--36839 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into [366] Underfull \hbox (badness 10000) in paragraph at lines 36841--36842 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. Underfull \hbox (badness 8113) in paragraph at lines 36912--36913 []\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 36918--36919 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 36936--36937 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [367] [368] Underfull \hbox (badness 10000) in paragraph at lines 37097--37098 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [369] [370] [371] (./feature-labs-inc-evalml.ind [372] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [373] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--185 []\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 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.AccuracyBinary class [374] Underfull \hbox (badness 10000) in paragraph at lines 190--192 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 190--192 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 192--194 []\T1/pcr/m/n/10 calculate_percent_difference() 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 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 198--200 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class 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.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 202--204 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 202--204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 204--206 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 204--206 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 206--208 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 206--208 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class 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 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.F1Macro class method\T1/ptm/m /n/10 ), 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 214--216 \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 216--218 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 218--220 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 218--220 \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 220--222 []\T1/pcr/m/n/10 calculate_percent_difference() 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.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 224--226 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 224--226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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() Underfull \hbox (badness 10000) in paragraph at lines 228--230 \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 230--232 []\T1/pcr/m/n/10 calculate_percent_difference() 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.MCCMulticlass class 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.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 236--238 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 236--238 \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 238--240 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 240--242 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 240--242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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.ObjectiveBase class 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 244--246 \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 246--248 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 246--248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class 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.PrecisionMicro 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.PrecisionWeighted 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 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.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 256--258 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 258--260 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 260--262 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 260--262 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 262--264 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 262--264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [375] Underfull \hbox (badness 10000) in paragraph at lines 264--266 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 264--266 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 266--268 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 266--268 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 268--270 []\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 270--272 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 272--274 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 274--276 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 276--277 []\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 277--278 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 278--280 []\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 284--286 []\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 286--287 []\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 287--289 []\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 289--291 []\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 291--293 []\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 293--295 []\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 295--297 []\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 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 303--305 []\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 305--307 []\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 307--309 []\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 309--311 []\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 311--312 []\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 312--314 []\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 314--316 []\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 316--317 []\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 317--319 []\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 319--321 []\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 321--323 []\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 323--325 []\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 325--327 []\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 327--329 []\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 329--331 []\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 331--333 []\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 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 339--341 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 345--347 []\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 347--349 []\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 349--351 []\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 351--353 []\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 353--355 []\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 355--357 []\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 357--359 []\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 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [376] Overfull \hbox (27.96046pt too wide) in paragraph at lines 363--365 []\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 365--367 []\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 367--369 []\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 369--371 []\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 371--373 []\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 373--375 []\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 375--376 []\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 376--378 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 376--378 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\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 402--404 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 402--404 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 414--416 []\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 416--418 []\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 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 424--426 []\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 426--428 []\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 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 432--433 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 441--442 []\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 444--446 []\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 446--448 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 446--448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [377] Underfull \hbox (badness 10000) in paragraph at lines 448--449 []\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 449--451 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 449--451 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 455--456 []\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 456--458 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 458--460 \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 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 466--467 []\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 467--469 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 471--473 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [378] Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt 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.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt 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.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 554--556 []\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 556--558 []\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 558--560 []\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 560--562 []\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 562--564 []\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 564--566 []\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 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 572--574 []\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 574--576 []\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 576--578 []\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 578--580 []\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 580--582 []\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 582--584 []\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 584--586 []\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 586--587 []\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 587--589 []\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 589--591 []\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 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 593--595 []\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 595--597 []\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 597--599 []\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 599--601 []\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 601--603 []\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 603--605 []\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 605--607 []\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 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [379] Overfull \hbox (10.81046pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 632--633 []\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 633--634 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 633--634 \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 634--636 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\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 639--640 []\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 643--645 []\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 645--647 []\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 648--650 []\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 648--650 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\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 650--652 \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 652--654 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 655--657 []\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 657--659 []\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 666--667 []\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 667--669 []\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 669--671 []\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 671--673 []\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 682--684 []\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 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 690--691 []\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 693--695 []\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 695--697 []\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 697--698 []\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 698--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 700--702 []\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 703--705 []\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 705--707 []\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 707--709 []\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 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [380] Overfull \hbox (19.60023pt too wide) in paragraph at lines 713--715 []\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 715--717 []\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 717--719 []\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 719--721 []\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 721--723 []\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 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 729--731 []\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 731--733 []\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 733--734 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 747--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 748--750 []\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 750--752 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 760--762 []\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 762--764 []\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 764--766 []\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 766--768 []\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 768--770 []\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 770--772 []\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 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 778--780 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 780--782 []\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 782--784 []\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 784--786 []\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 786--788 []\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 788--790 []\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 790--792 []\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 792--794 []\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 794--796 []\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 796--798 []\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 798--799 []\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 799--801 []\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 801--803 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 803--804 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 804--806 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 806--808 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 808--810 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 808--810 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 810--812 []\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 812--814 []\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 814--816 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule [381] Underfull \hbox (badness 10000) in paragraph at lines 817--818 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\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 826--828 []\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 828--829 []\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 829--831 []\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 831--833 []\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 833--835 []\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 835--837 []\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 839--841 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 841--843 []\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 843--845 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 843--845 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 845--847 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 845--847 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 847--849 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 847--849 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 849--851 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 849--851 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 851--853 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 851--853 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 853--855 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 853--855 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 855--857 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 855--857 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 857--859 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 857--859 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 859--861 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 859--861 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 861--863 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 861--863 \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 863--865 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 869--871 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 871--873 []\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 877--879 []\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 879--881 []\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 881--882 []\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 882--884 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 882--884 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 884--886 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 886--888 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 888--890 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 888--890 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 890--892 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 890--892 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 892--894 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 892--894 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 894--896 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 894--896 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 896--898 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 896--898 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 898--900 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 898--900 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns [382] Underfull \hbox (badness 10000) in paragraph at lines 900--902 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 900--902 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 902--904 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 902--904 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 904--906 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 904--906 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 906--908 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 906--908 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 908--910 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 908--910 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 910--912 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 910--912 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 912--914 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 912--914 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 914--916 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 914--916 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 916--918 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 916--918 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 918--920 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 918--920 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 920--922 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 920--922 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 922--924 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 922--924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 924--926 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 924--926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 926--928 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 926--928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 928--930 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 928--930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 930--932 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 930--932 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 932--934 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 932--934 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 934--936 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 934--936 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 936--938 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 936--938 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 938--940 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 938--940 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 940--942 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 942--944 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 942--944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 944--946 []\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 946--948 []\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 948--950 []\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 950--952 []\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 952--954 []\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 954--956 []\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 962--963 []\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 963--965 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 963--965 \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 965--967 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 965--967 \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 967--969 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 969--971 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 971--973 []\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 977--979 []\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 979--980 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [383] Underfull \hbox (badness 10000) in paragraph at lines 983--985 []\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 985--987 []\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 991--993 []\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 993--995 []\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 995--997 []\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 997--999 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1001--1003 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1003--1005 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1005--1007 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1007--1009 []\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 1009--1011 []\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 1011--1013 []\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 1013--1015 []\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 1017--1019 []\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 1019--1021 []\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 1021--1023 []\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 1023--1025 []\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 1027--1029 []\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 1031--1033 []\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 1033--1035 []\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 1035--1037 []\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 1037--1039 []\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 1039--1041 []\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 1041--1043 []\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 1043--1045 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1045--1047 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1047--1049 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1049--1051 []\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 1051--1053 []\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 1053--1055 []\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 1055--1057 []\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 1057--1059 []\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 1059--1061 []\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 1063--1065 []\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 1065--1067 []\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 1068--1070 []\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 1076--1078 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [384] Underfull \hbox (badness 10000) in paragraph at lines 1090--1092 []\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 1096--1098 []\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 1098--1100 []\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 1100--1101 []\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 1101--1103 []\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 1103--1105 []\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 1105--1107 []\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 1107--1109 []\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 1109--1111 []\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 1111--1113 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor Overfull \hbox (40.81021pt too wide) in paragraph at lines 1113--1115 []\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 1115--1117 []\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 1117--1119 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1119--1121 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1121--1123 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1123--1125 []\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 1125--1127 []\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 1127--1129 []\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 1129--1131 []\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 1131--1133 []\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 1133--1135 []\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 1137--1139 []\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 1139--1141 []\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 1141--1143 []\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 1143--1145 []\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 1145--1147 []\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 1147--1149 []\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 1149--1151 []\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 1151--1153 []\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 1153--1155 []\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 1155--1157 []\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 1157--1159 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1159--1161 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1161--1163 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1163--1165 []\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 1165--1167 []\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 1167--1169 []\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 1169--1171 []\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 1171--1173 []\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 1173--1175 []\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 1175--1177 []\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 1179--1181 []\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 1186--1188 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\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 1191--1192 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck [385] Underfull \hbox (badness 10000) in paragraph at lines 1194--1196 []\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 1199--1201 []\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 1208--1210 []\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 1210--1212 []\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 1212--1214 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1222--1224 []\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 1224--1226 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1239--1241 []\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 1245--1247 []\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 1247--1249 []\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 1249--1251 []\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 1251--1253 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1257--1259 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1259--1261 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 []\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 1267--1269 []\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 1269--1271 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1279--1281 []\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 1281--1283 []\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 1283--1285 []\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 1285--1286 []\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 1286--1287 []\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 1290--1292 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \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 1292--1294 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass [386] Underfull \hbox (badness 10000) in paragraph at lines 1294--1295 []\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 1295--1297 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 \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 1301--1303 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1303--1305 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1305--1307 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1311--1312 []\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 1312--1314 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1314--1316 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 \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 1318--1320 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1320--1322 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1320--1322 \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 1322--1324 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1322--1324 \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 1324--1326 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1326--1327 []\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 1327--1329 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 \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 1331--1333 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1331--1333 \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 1333--1335 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1333--1335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1337--1338 []\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 1338--1340 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1338--1340 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1342--1344 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1344--1346 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1344--1346 \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 1346--1348 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1346--1348 \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 1348--1350 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1350--1351 []\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 1351--1352 []\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 1352--1354 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMicro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1356--1358 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1356--1358 \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 1358--1360 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1358--1360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1365--1366 []\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 1366--1368 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1366--1368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [387] Underfull \hbox (badness 10000) in paragraph at lines 1368--1369 []\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 1369--1371 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1369--1371 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1371--1373 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1375--1376 []\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 1376--1378 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 \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 1380--1382 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \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 1382--1384 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1382--1384 \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 1384--1386 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1386--1387 []\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 1391--1392 []\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 1394--1396 []\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 1399--1401 []\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 1401--1403 []\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 1403--1405 []\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 1405--1407 []\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 1407--1409 []\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 1409--1411 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier Overfull \hbox (21.46036pt too wide) in paragraph at lines 1411--1413 []\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 1413--1415 []\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 1415--1417 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 1417--1419 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 1419--1421 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1421--1423 []\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 1423--1425 []\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 1425--1427 []\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 1427--1429 []\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 1429--1431 []\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 1431--1433 []\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 1433--1435 []\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 1435--1437 []\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 1437--1439 []\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 1439--1441 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 1441--1443 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 1443--1445 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1445--1447 []\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 1447--1449 []\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 1449--1451 []\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 1451--1453 []\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 1453--1455 []\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 1455--1457 []\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 1458--1459 []\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 1459--1461 []\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 1461--1463 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline [388] Overfull \hbox (48.53014pt too wide) in paragraph at lines 1463--1465 []\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 1465--1467 []\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 1467--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1475--1477 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 1477--1479 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1479--1481 []\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 1481--1483 []\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 1483--1485 []\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 1485--1487 []\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 1487--1489 []\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 1489--1491 []\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 1491--1493 []\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 1493--1495 []\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 1495--1497 []\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 1497--1499 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1513--1515 []\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 1515--1517 []\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 1517--1519 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (30.53014pt too wide) in paragraph at lines 1519--1521 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BinaryClassificationPipeline Overfull \hbox (3.31042pt too wide) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ClassificationPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1523--1525 []\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 1525--1527 []\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 1527--1529 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (44.97968pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1531--1532 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. PipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 1532--1534 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1536--1537 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner Underfull \hbox (badness 10000) in paragraph at lines 1543--1545 []\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 1545--1547 []\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 1554--1556 []\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 1556--1558 []\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 1558--1559 []\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 1559--1560 []\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 1560--1561 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [389] Underfull \hbox (badness 10000) in paragraph at lines 1565--1566 []\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 1566--1568 []\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 1568--1570 []\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 1572--1573 []\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 1573--1575 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1583--1585 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1585--1587 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1587--1589 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1589--1590 []\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 1590--1592 []\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 1592--1594 []\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 1594--1596 []\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 1596--1597 []\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 1597--1599 []\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 1599--1601 []\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 1602--1604 []\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 1606--1608 []\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 1610--1612 []\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 1612--1614 []\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 1614--1616 []\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 1616--1618 []\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 1618--1620 []\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 1620--1622 []\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 1622--1624 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1624--1626 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1626--1628 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1628--1630 []\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 1630--1632 []\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 1632--1633 []\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 1633--1635 []\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 1635--1637 []\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 1637--1639 []\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 1641--1643 []\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 1643--1645 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1648--1649 []\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 1653--1655 []\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 1655--1657 []\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 1657--1659 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective [390] Underfull \hbox (badness 5607) in paragraph at lines 1667--1668 []\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 1668--1669 []\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 1673--1674 []\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 1676--1678 []\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 1678--1679 []\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 1682--1683 []\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 1688--1689 []\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 1689--1690 []\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 1690--1692 []\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 1692--1694 []\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 1698--1700 []\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 1700--1701 []\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 1701--1703 []\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 1703--1705 []\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 1705--1707 []\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 1707--1709 []\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 1712--1713 []\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 1713--1714 []\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 1716--1718 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\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 1727--1729 []\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 1729--1731 []\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 1731--1733 []\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 1733--1735 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1733--1735 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1735--1737 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1737--1739 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1737--1739 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1739--1741 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1739--1741 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1741--1743 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1743--1745 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1745--1747 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1745--1747 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r [391] Underfull \hbox (badness 10000) in paragraph at lines 1747--1749 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1747--1749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1749--1751 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1749--1751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1751--1753 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1751--1753 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1753--1755 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1753--1755 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1755--1757 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1755--1757 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1757--1759 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1757--1759 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1759--1761 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1759--1761 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1761--1763 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1761--1763 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1763--1765 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1763--1765 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1765--1767 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1765--1767 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1767--1769 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1767--1769 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1769--1771 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1774--1775 []\T1/pcr/m/n/10 target_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1775--1776 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\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 1777--1779 []\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 1779--1781 []\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 1781--1783 []\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 1783--1785 []\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 1785--1787 []\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 1787--1789 []\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 1789--1791 []\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 1791--1793 []\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 1793--1795 []\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 1795--1797 []\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 1797--1799 []\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 1799--1801 []\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 1801--1803 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 1808--1810 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1811--1812 []\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 1814--1816 []\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 1816--1818 []\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 1818--1820 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1820--1822 []\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 1822--1824 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 1824--1826 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 \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 1828--1830 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1830--1831 []\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 1832--1833 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro [392] Underfull \hbox (badness 10000) in paragraph at lines 1833--1835 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1833--1835 \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 1835--1837 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1837--1839 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1837--1839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1839--1841 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1839--1841 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1841--1843 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1846--1847 []\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 1847--1848 []\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 1850--1851 []\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 1853--1855 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1853--1855 \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 1855--1857 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1857--1858 []\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 1858--1859 []\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 1860--1862 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1860--1862 \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 1862--1864 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1862--1864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1864--1865 []\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 1865--1866 []\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 1866--1868 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1866--1868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 \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 1870--1871 []\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 1871--1873 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1871--1873 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 \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 1875--1877 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1878--1879 []\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 1879--1881 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1879--1881 \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 1883--1885 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1883--1885 \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 1885--1887 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1885--1887 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1887--1889 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1887--1889 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1889--1891 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1889--1891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 []\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 1896--1897 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [393]) (./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 (397 pages, 1874013 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. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [5] Underfull \vbox (badness 1371) detected at line 513 [6] [7] [8] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.718 ...t=2800.0\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.718 ...t=2800.0\sphinxpxdimen]{{start_20_0}.svg} [9] [10] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [11] [12] [13] [14] [15] [16] [17] [18] [19] Overfull \vbox (0.52579pt too high) detected at line 1754 [20] [21] [22] [23] [24] [25] [26] Overfull \vbox (0.52579pt too high) detected at line 2419 [27] [28] Underfull \vbox (badness 10000) detected at line 2605 Overfull \vbox (2.88167pt too high) detected at line 2605 [29] [30] Chapter 4. [31] [32] Underfull \hbox (badness 10000) in paragraph at lines 2949--2950 []\T1/ptm/m/n/10 To get the de-fault ob-jec-tive for each prob-lem type, you ca n use the [33] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.3031 ...]{{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.3031 ...]{{keyboard_interrupt_demo_updated}.gif} [34] Overfull \vbox (5.03935pt too high) detected at line 3137 [35] [36] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [37] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [38] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [39] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [40] Underfull \vbox (badness 10000) detected at line 3540 Overfull \vbox (2.68169pt too high) detected at line 3540 [41] Underfull \hbox (badness 10000) in paragraph at lines 3601--3602 []\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 , [42] [43] [44] Underfull \vbox (badness 10000) detected at line 3802 Overfull \vbox (2.68169pt too high) detected at line 3802 [45] [46] [47] [48] [49] [50] [51] [52] Underfull \hbox (badness 10000) in paragraph at lines 4363--4365 \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 , [53] [54] [55] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4631 ...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.4631 ...xdimen]{{user_guide_pipelines_16_0}.svg} [56] [57] [58] [59] [60] [61] [62] [63] [64] Underfull \vbox (badness 10000) detected at line 5536 Overfull \vbox (2.68169pt too high) detected at line 5536 [65] Overfull \vbox (2.68167pt too high) detected at line 5559 [66] [67] [68] Underfull \vbox (badness 10000) detected at line 5770 Overfull \vbox (2.68169pt too high) detected at line 5770 [69] [70] Underfull \hbox (badness 10000) in paragraph at lines 5832--5833 \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 [71] [72] [73] [74] Chapter 5. [75] [76] [77] Underfull \hbox (badness 10000) in paragraph at lines 6487--6487 []\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 6487--6487 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_time=No ne\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa- Underfull \hbox (badness 10000) in paragraph at lines 6487--6487 \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 6487--6487 \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 6487--6487 \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 6487--6487 \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 - Underfull \hbox (badness 10000) in paragraph at lines 6551--6551 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6551--6551 \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 6551--6551 \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 6551--6551 \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 6551--6551 \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 , [78] Underfull \hbox (badness 7869) in paragraph at lines 6599--6603 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [79] [80] [81] Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6955--6955 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [82 <./inheritance-47e7fb95b88a63ea15f76bdd3009c32bffcc06d2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 6999--6999 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [83] Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 7109--7109 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num- Underfull \hbox (badness 10000) in paragraph at lines 7153--7153 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_it erations=None\T1/ptm/m/n/10 , [84 <./inheritance-1cee62735641b4a94d703d93d0b762b407b924f1.pdf>] [85] Underfull \hbox (badness 5908) in paragraph at lines 7306--7308 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [86 <./inheritance-9435835d651bc334bcfd869dad7149542ca821ff.pdf>] [87] [88] [89] [90 <./inheritance-63642517d90aa54e72cbc471935139a0d2167ed3.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 7983--7985 []\T1/ptm/m/n/10 by sorted(set(y)) [91] [92] [93] [94 <./inheritance-a50ca13e6d040f1c73ad9fef3054757fa9b205e9.pdf> ] [95] Underfull \hbox (badness 10000) in paragraph at lines 8448--8450 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 8519--8519 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [96] [97] Underfull \hbox (badness 10000) in paragraph at lines 8671--8671 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [98 <./inheritance-ebcec947821dc043c704a6880308119775d19029.pdf>] [99] Underfull \hbox (badness 10000) in paragraph at lines 8908--8910 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 8979--8979 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [100] [101] [102 <./inheritance-381a6f853e023f1d03dac984dbc652502ffa4341.pdf>] [103] [104] [105] [106 <./inheritance-2905436f28577436c2a5f6fba95b90e0f4650bcd. pdf>] [107] Underfull \hbox (badness 10000) in paragraph at lines 9877--9879 []\T1/ptm/m/n/10 by sorted(set(y)) [108] [109] [110 <./inheritance-8614af5ad05894328bcc62ccfbaabfc58baa63c9.pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 10373--10375 []\T1/ptm/m/n/10 by sorted(set(y)) [112] [113] [114 <./inheritance-fddbe5dbb99e14cf353c6e089cae647243fe6d50.pdf>] [115] Underfull \hbox (badness 10000) in paragraph at lines 10874--10876 []\T1/ptm/m/n/10 by sorted(set(y)) [116] [117] [118] Underfull \hbox (badness 10000) in paragraph at lines 11097--11097 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [119 <./inheritance-6ea033e365a2b920ee21b0a172158b48a88f1430.pdf>] [120] Underfull \hbox (badness 10000) in paragraph at lines 11370--11372 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (18.95404pt too wide) in paragraph at lines 11441--11441 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [121] [122] [123 <./inheritance-0e32736cdc3cd73611db52884b18a0e094ac0035.pdf>] [124] [125] [126] Underfull \hbox (badness 10000) in paragraph at lines 12087--12087 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [127 <./inheritance-dd603db5c2b39dcf9dec91793c3f66da7150d06b.pdf>] [128] [129] Overfull \hbox (18.95404pt too wide) in paragraph at lines 12418--12418 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [130] [131 <./inheritance-6300e5c1fb904a5efbebba6e0d4afedd2abf3a5c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12613--12613 []\T1/ptm/m/it/10 component_instances\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 12613--12613 \T1/ptm/m/it/10 prob-lem_type\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cus- Overfull \hbox (78.19925pt too wide) in paragraph at lines 12614--12618 [] Underfull \hbox (badness 10000) in paragraph at lines 12686--12686 []\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 12686--12686 \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 , [132] Underfull \hbox (badness 10000) in paragraph at lines 12745--12745 []\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 , [133] Underfull \hbox (badness 10000) in paragraph at lines 12880--12880 []\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 12880--12880 \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 , [134 <./inheritance-4d118dfca5547bb0a049eb7ef6b927f4cb534105.pdf>] [135] [136] Underfull \hbox (badness 10000) in paragraph at lines 13149--13149 []\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 , [137 <./inheritance-80e55c924f3af4fc12d13668fcdb1edae622d4c0.pdf>] [138] [139 <./inheritance-85f4611dab5d6fd7ad02803c9cda5813de20a9b2.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 13460--13460 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13575--13575 []\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 , [140] Underfull \hbox (badness 7576) in paragraph at lines 13654--13656 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [141] [142] Underfull \hbox (badness 10000) in paragraph at lines 13895--13895 []\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 13974--13976 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [143 <./inheritance-018c9c882d49877539778166238cfea205baec17.pdf>] [144] [145] Underfull \hbox (badness 10000) in paragraph at lines 14215--14215 \T1/ptm/m/it/10 cat-e-gories=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 drop=None\T1/ ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14215--14215 \T1/ptm/m/it/10 han-dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [146 <./inheritance-d5f4a3af1838ddb6c90cb3a77b7f1094c921eabe.pdf>] [147] [148] Underfull \hbox (badness 10000) in paragraph at lines 14610--14610 []\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 14610--14610 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , [149 <./inheritance-86a84bdd1dafa9254ee27a8ddc62f5d9bad8614e.pdf>] Overfull \hbox (5.61217pt too wide) in paragraph at lines 14734--14734 []\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 14739--14743 []\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, [150] [151] Underfull \hbox (badness 10000) in paragraph at lines 14945--14945 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14945--14945 \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 14945--14945 \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 14945--14945 \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 , [152 <./inheritance-ac213b9c1ed99f6cc424a317e40693a441a0c0aa.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15069--15069 []\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 , [153] [154] Overfull \hbox (62.0307pt too wide) in paragraph at lines 15245--15247 [] [155] Underfull \hbox (badness 10000) in paragraph at lines 15283--15283 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15283--15283 \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 , [156 <./inheritance-25a93a6d9bde0745a7fabc7a2283afcd091f849a.pdf>] [157] Overfull \hbox (62.0307pt too wide) in paragraph at lines 15579--15581 [] [158] [159 <./inheritance-120d9f8a3660aba407e968ff2d3fc231620cce01.pdf>] [160] Overfull \hbox (19.00412pt too wide) in paragraph at lines 15932--15932 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15932--15932 \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 15932--15932 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [161 <./inheritance-6c6ecd9f7e755dd57f891ccf06b1f2ac93579174.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16061--16061 []\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 16061--16061 \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 16061--16061 \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 , [162] [163] [164] Overfull \hbox (25.00412pt too wide) in paragraph at lines 16268--16268 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 16268--16268 \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 16268--16268 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [165 <./inheritance-b4304d767467e309f8955705ff6289bd3aab1563.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16397--16397 []\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 16397--16397 \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 16397--16397 \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 , [166] [167] Underfull \hbox (badness 10000) in paragraph at lines 16604--16604 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [168 <./inheritance-fa52fa790c4e54033e7cc6a5db23ddfcb221542d.pdf>] [169] [170] [171 <./inheritance-3203aa272bb353174dd321aa901f66de4bc01271.pdf>] [172] [173] Underfull \hbox (badness 10000) in paragraph at lines 17252--17252 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [174 <./inheritance-69ca6ccb932cbcd624b7125fe4c42c014bffac64.pdf>] [175] [176] Underfull \hbox (badness 10000) in paragraph at lines 17656--17656 []\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 17656--17656 \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 17656--17656 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [177 <./inheritance-aa1be4bcae4935d81b55518a8e8389e38fe11228.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17804--17804 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 17804--17804 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=True\T1/ ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [178] [179] Underfull \hbox (badness 10000) in paragraph at lines 17983--17983 []\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 17983--17983 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17983--17983 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [180 <./inheritance-7e3f804903dcea6b233c0b9598077cbc09a0ac95.pdf>] [181] [182] Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18297--18297 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [183 <./inheritance-5e6dfff4f4bb91a782dd96e9f1535800410245df.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18432--18432 []\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 18432--18432 \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 , [184] [185] Underfull \hbox (badness 10000) in paragraph at lines 18611--18611 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18611--18611 \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 , [186 <./inheritance-dbac3ea02f4e02385ae31b535e3f6e046fe030e1.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18746--18746 []\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- [187] Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18925--18925 \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 18925--18925 \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/10 bag- [188 <./inheritance-85c96795e0e5f856688bd701c20b554338989dca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19070--19070 \T1/ptm/m/it/10 max_depth=0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 num_leaves=31\T1/pt m/m/n/10 , \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19070--19070 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T1/pt m/m/n/10 , \T1/ptm/m/it/10 bag-ging_fraction=0.9\T1/ptm/m/n/10 , \T1/ptm/m/it/1 0 bag- [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 19249--19249 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [191 <./inheritance-dd8ea5760e304d12630744fac097b82f2f7e5246.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 19384--19384 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n /10 , \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19384--19384 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 solver='lbfg s'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [192] [193] Underfull \hbox (badness 10000) in paragraph at lines 19563--19563 []\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 19563--19563 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19563--19563 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [194 <./inheritance-abef8021b552401cefc5762e0427721adbe64d2d.pdf>] [195] [196] Underfull \hbox (badness 10000) in paragraph at lines 19887--19887 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [197 <./inheritance-33bdab978875ec088ea7905f4e28729f8492cb72.pdf>] [198] [199] Overfull \hbox (7.27411pt too wide) in paragraph at lines 20219--20219 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 fi- Overfull \hbox (1.16414pt too wide) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20219--20219 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [200 <./inheritance-76672e82fc915053acf2d696bb5e84d58105c4ea.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20354--20354 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [201] [202] Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (22.18385pt too wide) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20563--20563 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [203 <./inheritance-ddabf9aec58198f50eaedc2cc1e22d3a165ec9cc.pdf>] Underfull \hbox (badness 5147) in paragraph at lines 20698--20698 []\T1/ptm/m/it/10 criterion='gini'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20698--20698 \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 , [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 20947--20947 []\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 20947--20947 \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 20947--20947 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [206 <./inheritance-8bb0489a2203cdd5e57d08b5ff8304b1797c69ca.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 21095--21095 []\T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 eta=0.03\T1/p tm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , \T1/ptm/m/it/10 boot- Underfull \hbox (badness 10000) in paragraph at lines 21095--21095 \T1/ptm/m/it/10 strap_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 silent=False\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 21274--21274 []\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 21274--21274 \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 21274--21274 \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 , [209 <./inheritance-2889a5fa7a3b2940070d497fa003a7d38160dea9.pdf>] [210] [211] Underfull \hbox (badness 10000) in paragraph at lines 21588--21588 []\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 21588--21588 \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- [212 <./inheritance-d3109a9e9ae40d007fe45fd2a0a04efd81b3a627.pdf>] [213] Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 21902--21902 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [214 <./inheritance-9605d8e728f392e3ed715f822b4bcc58ee91c20f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22037--22037 []\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 22037--22037 \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 , [215] [216] Underfull \hbox (badness 10000) in paragraph at lines 22216--22216 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22216--22216 \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 22216--22216 \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 , [217 <./inheritance-d281b39e9950480ced013c373199d1dd15792b7e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22351--22351 []\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- [218] [219] Underfull \hbox (badness 10000) in paragraph at lines 22530--22530 []\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 22530--22530 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22530--22530 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [220 <./inheritance-aece90b5fd0355967707f08e6cb3806183440f30.pdf>] [221] [222] Underfull \hbox (badness 10000) in paragraph at lines 22854--22854 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [223 <./inheritance-1bc79d93525f3ae2d29a53574ec2dc3b121bee5a.pdf>] [224] [225] Overfull \hbox (1.27411pt too wide) in paragraph at lines 23181--23181 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 fi- Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 nal_estimator=None\T1/ptm/m/n/10 , Underfull \hbox (badness 8038) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 cv=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 n_jobs=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23181--23181 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [226 <./inheritance-9dfbed94778375ab55d37e099bde67f7ab21a3f0.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23316--23316 []\T1/ptm/m/it/10 input_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 fi-nal_e stimator=None\T1/ptm/m/n/10 , [227] [228] Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (16.18385pt too wide) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23525--23525 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , [229 <./inheritance-c219d3bb1ff5e811e8bc9d5d9463060a6823f6bd.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23660--23660 []\T1/ptm/m/it/10 criterion='mse'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_features= 'auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 23660--23660 \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 , [230] [231] Underfull \hbox (badness 10000) in paragraph at lines 23925--23925 []\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- [232 <./inheritance-9d2656e4ebd0931d0ca08e2ea5d57113b4c24eb4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23956--23956 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [233] Overfull \hbox (137.00916pt too wide) in paragraph at lines 24070--24070 [] Underfull \hbox (badness 10000) in paragraph at lines 24070--24070 Overfull \hbox (12.23114pt too wide) in paragraph at lines 24071--24071 [] Underfull \hbox (badness 10000) in paragraph at lines 24071--24071 Underfull \hbox (badness 10000) in paragraph at lines 24104--24104 []\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 24104--24104 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- [234] Underfull \hbox (badness 10000) in paragraph at lines 24135--24135 []\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 24135--24135 \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 24168--24168 \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 24168--24168 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [235] Underfull \hbox (badness 10000) in paragraph at lines 24283--24283 []\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 24283--24283 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , [236] Underfull \hbox (badness 10000) in paragraph at lines 24317--24317 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_pred\T1/ptm/m/n/10 , \T1/ptm/m/it/10 out- Overfull \hbox (9.96457pt too wide) in paragraph at lines 24385--24385 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 24385--24385 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [237] Overfull \hbox (15.96457pt too wide) in paragraph at lines 24426--24426 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 24426--24426 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 24456--24458 [] [238] Overfull \hbox (81.96457pt too wide) in paragraph at lines 24472--24472 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 24472--24472 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (102.73972pt too wide) in paragraph at lines 24510--24513 [] [239] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24637--24639 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24657--24657 [] Underfull \hbox (badness 10000) in paragraph at lines 24657--24657 [240] [241 <./inheritance-96502c168d23eb258b9e9c454bfc54830a953f0a.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 24803--24803 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 24803--24803 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 24803--24803 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 24818--24820 [] Underfull \hbox (badness 10000) in paragraph at lines 24837--24837 []\T1/ptm/m/it/10 ypred_proba\T1/ptm/m/n/10 , \T1/ptm/m/it/10 thresh-old=0.5\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24865--24865 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 24865--24865 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 24866--24866 [] Underfull \hbox (badness 10000) in paragraph at lines 24866--24866 [242] [243] Overfull \hbox (51.03467pt too wide) in paragraph at lines 25029--25029 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 25029--25029 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 25029--25029 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25044--25046 [] Underfull \hbox (badness 10000) in paragraph at lines 25063--25063 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 25063--25063 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 25063--25063 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) [244 <./inheritance-f9341be3a21406ffc5021c56acee7398496d274f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25064--25064 [] Underfull \hbox (badness 10000) in paragraph at lines 25064--25064 [245] Underfull \hbox (badness 10000) in paragraph at lines 25199--25199 []\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 25214--25216 [] Underfull \hbox (badness 10000) in paragraph at lines 25233--25233 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , [246 <./inheritance-ed3e9f2d2f13645d47c8d4fb03197c3687d23938.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25234--25234 [] Underfull \hbox (badness 10000) in paragraph at lines 25234--25234 [247] Underfull \hbox (badness 10000) in paragraph at lines 25356--25356 []\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 , [248 <./inheritance-548e40d399d65bcdbc32486141e7286608f757b7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25466--25468 [] [249] [250] [251 <./inheritance-a85b0a4e7321dcfcc841c5223885f0d60c029b1d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25735--25737 [] [252] Underfull \hbox (badness 10000) in paragraph at lines 25902--25902 []\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 , [253 <./inheritance-f1adecc352faebe7daa03d5ed6d477057e07e93f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 25996--25996 []\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 26011--26013 [] [254] [255] [256 <./inheritance-1ec2cfcdef8e193ed933be7b90295a35fa26dc2d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26380--26380 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [257] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26395--26397 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26443--26443 [] Underfull \hbox (badness 10000) in paragraph at lines 26443--26443 [258] [259 <./inheritance-8089cdbf72f1475552161c31ecb5a00dc5b9bb33.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 26604--26604 []\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 26619--26621 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26639--26639 [] Underfull \hbox (badness 10000) in paragraph at lines 26639--26639 [260] [261 <./inheritance-95fadff8ca724973457e1904f511c59c4ed0d074.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26797--26799 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26845--26845 [] Underfull \hbox (badness 10000) in paragraph at lines 26845--26845 [262] [263 <./inheritance-859d02b87a3df2b4554b7ebe22c1ab7ca695bf3a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27021--27023 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27041--27041 [] Underfull \hbox (badness 10000) in paragraph at lines 27041--27041 [264] [265 <./inheritance-4cdeb82dbb336f533385ddb1110b99b31a68789d.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27189--27191 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27209--27209 [] Underfull \hbox (badness 10000) in paragraph at lines 27209--27209 [266] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27357--27359 [] [267 <./inheritance-b0963ea6131b30b1a69c13335f4dac4c4808435e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27377--27377 [] Underfull \hbox (badness 10000) in paragraph at lines 27377--27377 [268] Underfull \hbox (badness 10000) in paragraph at lines 27520--27520 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 27520--27520 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 27520--27520 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27535--27537 [] [269 <./inheritance-843e324663f1fd01051b759898e073b372d684af.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27583--27583 [] Underfull \hbox (badness 10000) in paragraph at lines 27583--27583 [270] [271 <./inheritance-d500feb32994d98d0be3102cac9f007832ed19ee.pdf>] Overfull \hbox (9.03467pt too wide) in paragraph at lines 27744--27744 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 27744--27744 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 27744--27744 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 27759--27761 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27779--27779 [] Underfull \hbox (badness 10000) in paragraph at lines 27779--27779 [272] [273 <./inheritance-f26522b61e0ab40b36a1e216d6ba39cb4c4b2655.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27937--27939 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27985--27985 [] Underfull \hbox (badness 10000) in paragraph at lines 27985--27985 [274] [275 <./inheritance-a4ec93ef4f178bba4a020291233662e3debc754a.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28161--28163 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28181--28181 [] Underfull \hbox (badness 10000) in paragraph at lines 28181--28181 [276] [277 <./inheritance-719ea0f9c7cf543da210d6915349d9d21128ac4e.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28329--28331 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28349--28349 [] Underfull \hbox (badness 10000) in paragraph at lines 28349--28349 [278] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28497--28499 [] [279 <./inheritance-3f578ef7ef4d11e71e192e0ab067818e96b902d7.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28517--28517 [] Underfull \hbox (badness 10000) in paragraph at lines 28517--28517 [280] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28675--28677 [] [281 <./inheritance-b6e134c590e97bf509ae41cf0ff22394615b8c09.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28723--28723 [] Underfull \hbox (badness 10000) in paragraph at lines 28723--28723 [282] Underfull \hbox (badness 10000) in paragraph at lines 28884--28884 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [283 <./inheritance-71cd211efb104e9c920615d82c840811e778bb3c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28899--28901 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28919--28919 [] Underfull \hbox (badness 10000) in paragraph at lines 28919--28919 [284] [285 <./inheritance-6e2c8dcd4ee019d7a0f4849f524138accb6b68c8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29077--29079 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29125--29125 [] Underfull \hbox (badness 10000) in paragraph at lines 29125--29125 [286] [287 <./inheritance-fdcf81cc572ecfa6022e8f021b6fc20832d65e8c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29301--29303 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29321--29321 [] Underfull \hbox (badness 10000) in paragraph at lines 29321--29321 [288] [289 <./inheritance-76d9094d7a7007a36279ecaa011f52e0685b781c.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29479--29481 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29527--29527 [] Underfull \hbox (badness 10000) in paragraph at lines 29527--29527 [290] [291 <./inheritance-9048683e8c33477f2a4f7f44c14d07c967502f6f.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 29688--29688 []\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 29703--29705 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29723--29723 [] Underfull \hbox (badness 10000) in paragraph at lines 29723--29723 [292] Underfull \hbox (badness 10000) in paragraph at lines 29856--29856 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- [293 <./inheritance-7cb391dceac6efffb078834bc1a20bba5dcb0637.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29871--29873 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29891--29891 [] Underfull \hbox (badness 10000) in paragraph at lines 29891--29891 [294] Underfull \hbox (badness 10000) in paragraph at lines 30024--30024 []\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 30039--30041 [] [295 <./inheritance-b15cb3fcc3323688306595c0eb5f4b7395b235b2.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30059--30059 [] Underfull \hbox (badness 10000) in paragraph at lines 30059--30059 [296] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30217--30219 [] [297 <./inheritance-95e78741a398b491e12fe1597a53d34cc3eb651f.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30265--30265 [] Underfull \hbox (badness 10000) in paragraph at lines 30265--30265 [298] [299 <./inheritance-f0b81f524309bf47cbaa914399edbf2106c512ea.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30441--30443 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30461--30461 [] Underfull \hbox (badness 10000) in paragraph at lines 30461--30461 [300] Overfull \hbox (10.35059pt too wide) in paragraph at lines 30609--30611 [] [301 <./inheritance-0d96f5485c2397814b47f6b624c87c44cb599ab9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30629--30629 [] Underfull \hbox (badness 10000) in paragraph at lines 30629--30629 [302] Underfull \hbox (badness 10000) in paragraph at lines 30762--30762 []\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 30777--30779 [] [303 <./inheritance-83cfab0b9df17f7648d4b4254a76539150d90415.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30797--30797 [] Underfull \hbox (badness 10000) in paragraph at lines 30797--30797 [304] [305 <./inheritance-621e858c390605adadbd8a9de2688beef1189adc.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31013--31015 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31033--31033 [] Underfull \hbox (badness 10000) in paragraph at lines 31033--31033 [306] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31181--31183 [] [307 <./inheritance-43c5f263cec428e30ceb0af138d46aa40748142e.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31201--31201 [] Underfull \hbox (badness 10000) in paragraph at lines 31201--31201 [308] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31349--31351 [] [309 <./inheritance-57c913385107c95256997d6de6e3c22884c0083c.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31369--31369 [] Underfull \hbox (badness 10000) in paragraph at lines 31369--31369 [310] Underfull \hbox (badness 10000) in paragraph at lines 31504--31504 []\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 31519--31521 [] [311 <./inheritance-4e8afafc2fe881f664e9cb1276a38da53ce149be.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31539--31539 [] Underfull \hbox (badness 10000) in paragraph at lines 31539--31539 [312] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31687--31689 [] [313 <./inheritance-deaa89180234e35d5085c56bdb764d8921dcd657.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31707--31707 [] Underfull \hbox (badness 10000) in paragraph at lines 31707--31707 [314] Overfull \hbox (10.35059pt too wide) in paragraph at lines 31855--31857 [] [315 <./inheritance-2282660fcee89ab1ff52f62157cdb0a2fde7f2a1.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 31875--31875 [] Underfull \hbox (badness 10000) in paragraph at lines 31875--31875 [316] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32023--32025 [] [317 <./inheritance-e2eed1a8021ffc912b7aa94227d4b05b22de3d02.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32043--32043 [] Underfull \hbox (badness 10000) in paragraph at lines 32043--32043 [318] Overfull \hbox (10.35059pt too wide) in paragraph at lines 32191--32193 [] [319 <./inheritance-d56ef7e3776e5799042c1f905be075e93579dbf9.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32211--32211 [] Underfull \hbox (badness 10000) in paragraph at lines 32211--32211 [320] Underfull \hbox (badness 10000) in paragraph at lines 32346--32346 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 32346--32346 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 32346--32346 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 32361--32363 [] [321 <./inheritance-32b34c6d29a7372e03ed262c941cca5e4d9e61cb.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 32381--32381 [] Underfull \hbox (badness 10000) in paragraph at lines 32381--32381 [322] [323 <./inheritance-85c18894d4841f044854770c3fa50c39e5ba63d1.pdf>] [324] Overfull \hbox (42.52957pt too wide) in paragraph at lines 32716--32718 [] [325 <./inheritance-800f72e1e3fc909aa00885d14a1ab8c41130f2b3.pdf>] [326 <./inhe ritance-4e49ff6e31c072a4795b0f5d84b13eacc54b01d3.pdf>] [327] [328 <./inheritanc e-4e3414f3a103641d11c15c2cd793d0f05be5836c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 33166--33166 []\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- [329 <./inheritance-cea64525988aeeb5c6412e20d35b3385305bd5a5.pdf>] [330] Underfull \hbox (badness 10000) in paragraph at lines 33324--33324 []\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 33324--33324 \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 33381--33381 []\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 , [331 <./inheritance-e17dc1f9f1acd3dfa5d6ac71893e2b58c62b26c1.pdf>] [332] [333 <./inheritance-8c51ed01ff9e2d5d56d8708540e5f2487ac0277d.pdf>] [334 <./inhe ritance-9ca690b201738dd45149bcc0d41a94d5ad3107ba.pdf>] [335 <./inheritance-415e 0c0ac5b3be8708190eddb0b69f5f6ddaa8e8.pdf>] [336] [337 <./inheritance-7986862560 482139809a59738aa0d3a715dad7f7.pdf>] [338 <./inheritance-8137cd764f1a852cea7f3a 5da0a96fec115c8c39.pdf>] [339] Underfull \hbox (badness 10000) in paragraph at lines 34241--34243 []\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 [340 <./inheritance-e4e3c9a0f1f793dff1f76aef52409da9ed9af5b4.pdf>] [341 <./inhe ritance-72007caa0939d731540e614fb6d9eec807dcbcb9.pdf>] [342 <./inheritance-f5b5 a447a229385d3094171e9a86c8e3221f6f8d.pdf>] [343 <./inheritance-190eed31430f058f ca34ee45fdb5e009a6919d9b.pdf>] [344 <./inheritance-0f00587d1d48e49dc0402ad09ee3 fbb11ae512cf.pdf>] [345 <./inheritance-816e3c91555eb5224de51c60c4e28e23db747d97 .pdf>] [346] [347 <./inheritance-5576b771f5615739cf327a6dd55b510a3f280ea6.pdf>] [348 <./inheritance-9d7aac3b6c2e0aed0555fa923a3e3e94de4b6ce9.pdf>] [349 <./inhe ritance-c18ad8ab8f4940926b3f303c62cb8aede2781316.pdf> <./inheritance-b5016d55be da23cfa32620516da2a528bf22c054.pdf pdfTeX warning: pdflatex (file ./inheritance-b5016d55beda23cfa32620516da2a528bf 22c054.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [350] Chapter 6. Underfull \hbox (badness 10000) in paragraph at lines 35281--35282 []\T1/ptm/m/n/10 Added stacked en-sem-ble com-po-nent classes (\T1/pcr/m/n/10 S tackedEnsembleClassifier\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 35296--35297 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 HighVarianceCVDataCheck \T1/ptm/m/n/10 an d re-placed syn-ony-mous warn-ing in [351] Underfull \hbox (badness 10000) in paragraph at lines 35411--35412 []\T1/pcr/m/n/10 max_pipelines \T1/ptm/m/n/10 pa-ram-e-ter has been re-moved fr om \T1/pcr/m/n/10 AutoMLSearch\T1/ptm/m/n/10 . Please use [352] Underfull \hbox (badness 10000) in paragraph at lines 35491--35492 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 solver \T1/ptm/m/n/10 and \T1/pcr/m/n/10 multi_class \T1/ptm/m/n/10 as named ar-gu-ments to [353] [354] Underfull \hbox (badness 10000) in paragraph at lines 35705--35708 [] [355] [356] Underfull \hbox (badness 10000) in paragraph at lines 35927--35928 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 _compute_shap_values \T1/ptm/m/n/10 and \ T1/pcr/m/n/10 normalize_values \T1/ptm/m/n/10 to \T1/pcr/m/n/10 pipelines/ Underfull \hbox (badness 5475) in paragraph at lines 35954--35955 []\T1/ptm/m/n/10 Added uni-ver-sal er-ror for call-ing \T1/pcr/m/n/10 predict\T 1/ptm/m/n/10 , \T1/pcr/m/n/10 predict_proba\T1/ptm/m/n/10 , \T1/pcr/m/n/10 tran sform\T1/ptm/m/n/10 , and [357] Underfull \hbox (badness 10000) in paragraph at lines 35957--35958 []\T1/ptm/m/n/10 Made \T1/pcr/m/n/10 TextFeaturizer \T1/ptm/m/n/10 com-po-nent and pip de-pen-den-cies \T1/pcr/m/n/10 featuretools \T1/ptm/m/n/10 and Underfull \hbox (badness 10000) in paragraph at lines 35981--35982 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 to \T1/pcr/m/n/10 evalml. Underfull \hbox (badness 10000) in paragraph at lines 36045--36046 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to \T1/pcr/m/n/10 evalml. [358] Underfull \hbox (badness 10000) in paragraph at lines 36089--36090 []\T1/ptm/m/n/10 Deleted static pipelines and refac-tored tests in-volv-ing sta tic pipelines, re-moved [359] Underfull \hbox (badness 10000) in paragraph at lines 36179--36180 []\T1/ptm/m/n/10 Added sup-port for \T1/pcr/m/n/10 categories\T1/ptm/m/n/10 , \ T1/pcr/m/n/10 handle_error\T1/ptm/m/n/10 , and \T1/pcr/m/n/10 drop \T1/ptm/m/n/ 10 pa-ram-e-ters in [360] Underfull \hbox (badness 10000) in paragraph at lines 36257--36258 []\T1/ptm/m/n/10 Refactor \T1/pcr/m/n/10 handle_components \T1/ptm/m/n/10 to \T 1/pcr/m/n/10 handle_components_class\T1/ptm/m/n/10 , stan-dard-ize to Underfull \hbox (badness 10000) in paragraph at lines 36263--36264 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 10000) in paragraph at lines 36299--36300 []\T1/ptm/m/n/10 Replaced \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/1 0 and \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 with Underfull \hbox (badness 5374) in paragraph at lines 36315--36316 []\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 [361] Underfull \hbox (badness 10000) in paragraph at lines 36401--36402 []\T1/ptm/m/n/10 Updated Au-to-Base with \T1/pcr/m/n/10 data_checks \T1/ptm/m/n /10 pa-ram-e-ter, re-moved pre-vi-ous [362] [363] Underfull \hbox (badness 10000) in paragraph at lines 36638--36639 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/p tm/m/n/10 to \T1/pcr/m/n/10 pipeline. [364] Overfull \hbox (32.69456pt too wide) in paragraph at lines 36644--36645 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 MultiClassificationObjective \T1/ptm/m/ n/10 to \T1/pcr/m/n/10 MulticlassClassificationObjective\T1/ptm/m/n/10 , [365] Underfull \hbox (badness 10000) in paragraph at lines 36778--36779 []\T1/pcr/m/n/10 pipeline.feature_importance_graph \T1/ptm/m/n/10 has been re-n amed to \T1/pcr/m/n/10 pipeline. Underfull \hbox (badness 10000) in paragraph at lines 36796--36797 []\T1/ptm/m/n/10 Renamed \T1/pcr/m/n/10 PipelineBase.name \T1/ptm/m/n/10 as \T1 /pcr/m/n/10 PipelineBase.summary \T1/ptm/m/n/10 and re-de-fined Underfull \hbox (badness 10000) in paragraph at lines 36838--36839 []\T1/ptm/m/n/10 Refactored \T1/pcr/m/n/10 problem_types \T1/ptm/m/n/10 for pip elines and com-po-nents into [366] Underfull \hbox (badness 10000) in paragraph at lines 36841--36842 []\T1/ptm/m/n/10 Moved \T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n /10 and \T1/pcr/m/n/10 pipelines/utils. Underfull \hbox (badness 8113) in paragraph at lines 36912--36913 []\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 36918--36919 []\T1/pcr/m/n/10 pipelines/utils.save_pipeline \T1/ptm/m/n/10 and \T1/pcr/m/n/1 0 pipelines/utils.load_pipeline \T1/ptm/m/n/10 moved to Underfull \hbox (badness 10000) in paragraph at lines 36936--36937 []\T1/ptm/m/n/10 Added \T1/pcr/m/n/10 n_jobs \T1/ptm/m/n/10 as pa-ram-e-ter for \T1/pcr/m/n/10 AutoClassificationSearch \T1/ptm/m/n/10 and [367] [368] Underfull \hbox (badness 10000) in paragraph at lines 37097--37098 []\T1/ptm/m/n/10 Renamed au-toml classes to \T1/pcr/m/n/10 AutoRegressionSearch \T1/ptm/m/n/10 and [369] [370] [371] (./feature-labs-inc-evalml.ind [372] Underfull \hbox (badness 10000) in paragraph at lines 8--10 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckError Underfull \hbox (badness 10000) in paragraph at lines 10--12 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 12--14 []\T1/pcr/m/n/10 __eq__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.Da taCheckWarning Overfull \hbox (42.5106pt too wide) in paragraph at lines 15--17 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.AutoMLAlgorithm Overfull \hbox (43.66023pt too wide) in paragraph at lines 17--19 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.autom l_algorithm.IterativeAlgorithm Overfull \hbox (25.17087pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 21--23 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataCheckError Underfull \hbox (badness 10000) in paragraph at lines 27--28 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. DataChecks Overfull \hbox (5.18097pt too wide) in paragraph at lines 30--32 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. HighlyNullDataCheck Overfull \hbox (6.84117pt too wide) in paragraph at lines 32--34 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. IDColumnsDataCheck Overfull \hbox (13.94106pt too wide) in paragraph at lines 34--36 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 36--38 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. NoVarianceDataCheck Underfull \hbox (badness 6348) in paragraph at lines 38--40 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 40--42 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.C ostBenefitMatrix Underfull \hbox (badness 6188) in paragraph at lines 44--45 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.F raudCost method\T1/ptm/m/n/10 ), Overfull \hbox (12.41pt too wide) in paragraph at lines 48--50 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 50--52 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 52--54 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Cl assificationPipeline Overfull \hbox (37.18016pt too wide) in paragraph at lines 56--58 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 58--60 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 60--62 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 62--64 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 65--67 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Re gressionPipeline Overfull \hbox (26.02017pt too wide) in paragraph at lines 67--69 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineClassifier Overfull \hbox (27.46036pt too wide) in paragraph at lines 69--71 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.BaselineRegressor Overfull \hbox (28.81021pt too wide) in paragraph at lines 71--73 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostClassifier Overfull \hbox (30.2504pt too wide) in paragraph at lines 73--75 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.CatBoostRegressor Overfull \hbox (18.79085pt too wide) in paragraph at lines 75--77 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ComponentBase Overfull \hbox (33.60025pt too wide) in paragraph at lines 77--79 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 79--81 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 81--83 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 83--85 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropColumns Overfull \hbox (26.69058pt too wide) in paragraph at lines 85--87 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DropNullColumns [373] Overfull \hbox (33.24988pt too wide) in paragraph at lines 87--89 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetClassifier Overfull \hbox (34.69006pt too wide) in paragraph at lines 89--91 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Estimator Overfull \hbox (34.9501pt too wide) in paragraph at lines 93--95 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 95--97 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Imputer Overfull \hbox (34.36026pt too wide) in paragraph at lines 99--101 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 101--103 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt too wide) in paragraph at lines 103--105 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 105--107 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.OneHotEncoder Overfull \hbox (30.21062pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.PerColumnImputer Overfull \hbox (74.44995pt too wide) in paragraph at lines 109--111 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFClassifierSelectFromModel Overfull \hbox (75.89014pt too wide) in paragraph at lines 111--113 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RFRegressorSelectFromModel Overfull \hbox (49.60023pt too wide) in paragraph at lines 113--115 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestClassifier Overfull \hbox (51.04042pt too wide) in paragraph at lines 115--117 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.RandomForestRegressor Overfull \hbox (12.68059pt too wide) in paragraph at lines 117--119 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SelectColumns Overfull \hbox (12.12065pt too wide) in paragraph at lines 119--121 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 121--123 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 123--125 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 125--127 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 127--129 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 129--131 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 131--133 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 133--135 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 136--137 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Rando mSearchTuner Underfull \hbox (badness 10000) in paragraph at lines 139--141 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckError Underfull \hbox (badness 10000) in paragraph at lines 141--143 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckMessage Underfull \hbox (badness 10000) in paragraph at lines 143--145 []\T1/pcr/m/n/10 __str__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.D ataCheckWarning Underfull \hbox (badness 10000) in paragraph at lines 151--152 []\T1/pcr/m/n/10 add() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.RandomSear chTuner method\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 154--156 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.AutoMLAlgorithm Overfull \hbox (55.66023pt too wide) in paragraph at lines 156--158 []\T1/pcr/m/n/10 add_result() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.aut oml_algorithm.IterativeAlgorithm Underfull \hbox (badness 10000) in paragraph at lines 159--161 []\T1/pcr/m/n/10 allowed_model_families() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10 AutoMLAlgorithm \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 171--172 []\T1/pcr/m/n/10 BalancedAccuracyBinary \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 172--173 []\T1/pcr/m/n/10 BalancedAccuracyMulticlass \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 173--174 []\T1/pcr/m/n/10 BaselineBinaryPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 174--176 []\T1/pcr/m/n/10 BaselineClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 176--177 []\T1/pcr/m/n/10 BaselineMulticlassPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 177--178 []\T1/pcr/m/n/10 BaselineRegressionPipeline \T1/ptm/m/n/10 (\T1/ptm/m/it/10 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 178--180 []\T1/pcr/m/n/10 BaselineRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 BinaryClassificationObjective \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 184--185 []\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 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.AccuracyBinary class [374] Underfull \hbox (badness 10000) in paragraph at lines 190--192 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 190--192 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 192--194 []\T1/pcr/m/n/10 calculate_percent_difference() 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 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 198--200 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted class 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.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 202--204 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 202--204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 204--206 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 204--206 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 206--208 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 206--208 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.CostBenefitMatrix class 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 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.F1Macro class method\T1/ptm/m /n/10 ), 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 214--216 \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 216--218 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 218--220 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 218--220 \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 220--222 []\T1/pcr/m/n/10 calculate_percent_difference() 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.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 224--226 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 224--226 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class 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() Underfull \hbox (badness 10000) in paragraph at lines 228--230 \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 230--232 []\T1/pcr/m/n/10 calculate_percent_difference() 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.MCCMulticlass class 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.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 236--238 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 236--238 \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 238--240 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 240--242 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (19.9494pt too wide) in paragraph at lines 240--242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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.ObjectiveBase class 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 244--246 \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 246--248 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 246--248 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class 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.PrecisionMicro 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.PrecisionWeighted 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 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.Recall class method\T1/ptm/m/ n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 256--258 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 258--260 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 260--262 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 260--262 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class Underfull \hbox (badness 10000) in paragraph at lines 262--264 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 262--264 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class [375] Underfull \hbox (badness 10000) in paragraph at lines 264--266 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 264--266 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 266--268 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 266--268 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 268--270 []\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 270--272 []\T1/pcr/m/n/10 CatBoostClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 272--274 []\T1/pcr/m/n/10 CatBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Overfull \hbox (30.78084pt too wide) in paragraph at lines 274--276 []\T1/pcr/m/n/10 categories() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 276--277 []\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 277--278 []\T1/pcr/m/n/10 ClassImbalanceDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 278--280 []\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 284--286 []\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 286--287 []\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 287--289 []\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 289--291 []\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 291--293 []\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 293--295 []\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 295--297 []\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 297--299 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Overfull \hbox (26.53993pt too wide) in paragraph at lines 299--301 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeClassifier Overfull \hbox (27.98012pt too wide) in paragraph at lines 301--303 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 303--305 []\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 305--307 []\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 307--309 []\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 309--311 []\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 311--312 []\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 312--314 []\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 314--316 []\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 316--317 []\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 317--319 []\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 319--321 []\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 321--323 []\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 323--325 []\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 325--327 []\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 327--329 []\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 329--331 []\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 331--333 []\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 333--335 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Overfull \hbox (43.26003pt too wide) in paragraph at lines 339--341 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleClassifier Overfull \hbox (44.70021pt too wide) in paragraph at lines 341--343 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 345--347 []\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 347--349 []\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 349--351 []\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 351--353 []\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 353--355 []\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 355--357 []\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 357--359 []\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 359--361 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline [376] Overfull \hbox (27.96046pt too wide) in paragraph at lines 363--365 []\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 365--367 []\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 367--369 []\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 369--371 []\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 371--373 []\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 373--375 []\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 375--376 []\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 376--378 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 376--378 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 378--380 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 380--382 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\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 402--404 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 402--404 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 406--408 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 408--410 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 410--412 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 412--414 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 414--416 []\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 416--418 []\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 418--420 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B aselineRegressionPipeline Overfull \hbox (24.53014pt too wide) in paragraph at lines 420--422 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.B inaryClassificationPipeline Overfull \hbox (43.18016pt too wide) in paragraph at lines 424--426 []\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 426--428 []\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 428--430 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M odeBaselineMulticlassPipeline Overfull \hbox (38.97968pt too wide) in paragraph at lines 430--432 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.M ulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 432--433 []\T1/pcr/m/n/10 custom_name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.P ipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 441--442 []\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 444--446 []\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 446--448 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 446--448 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [377] Underfull \hbox (badness 10000) in paragraph at lines 448--449 []\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 449--451 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 449--451 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 455--456 []\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 456--458 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 458--460 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 458--460 \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 460--462 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 460--462 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 462--464 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 462--464 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 466--467 []\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 467--469 []\T1/pcr/m/n/10 DecisionTreeClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 DecisionTreeRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 471--473 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (22.63991pt too wide) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (24.0801pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 503--505 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 503--505 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 517--519 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 517--519 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 519--521 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 519--521 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel [378] Underfull \hbox (badness 10000) in paragraph at lines 521--523 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 521--523 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 523--525 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 523--525 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 525--527 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 525--527 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 527--529 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (39.36pt too wide) in paragraph at lines 527--529 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 529--531 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (40.80019pt too wide) in paragraph at lines 529--531 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 531--533 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 531--533 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 533--535 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 533--535 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 535--537 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 535--537 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 537--539 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 537--539 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 539--541 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 539--541 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 541--543 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 541--543 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 543--545 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 543--545 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt 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.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 550--552 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt 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.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 554--556 []\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 556--558 []\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 558--560 []\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 560--562 []\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 562--564 []\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 564--566 []\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 566--568 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (44.53993pt too wide) in paragraph at lines 568--570 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeClassifier Overfull \hbox (45.98012pt too wide) in paragraph at lines 570--572 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DecisionTreeRegressor Overfull \hbox (9.46088pt too wide) in paragraph at lines 572--574 []\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 574--576 []\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 576--578 []\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 578--580 []\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 580--582 []\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 582--584 []\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 584--586 []\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 586--587 []\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 587--589 []\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 589--591 []\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 591--593 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LogisticRegressionClassifier Overfull \hbox (18.78084pt too wide) in paragraph at lines 593--595 []\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 595--597 []\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 597--599 []\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 599--601 []\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 601--603 []\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 603--605 []\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 605--607 []\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 607--609 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (61.26003pt too wide) in paragraph at lines 609--611 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleClassifier Overfull \hbox (62.70021pt too wide) in paragraph at lines 611--613 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StackedEnsembleRegressor Overfull \hbox (15.09074pt too wide) in paragraph at lines 613--615 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler [379] Overfull \hbox (10.81046pt too wide) in paragraph at lines 615--617 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.TextFeaturizer Overfull \hbox (3.10078pt too wide) in paragraph at lines 617--619 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.Transformer Overfull \hbox (27.69035pt too wide) in paragraph at lines 619--621 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostClassifier Overfull \hbox (29.13054pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.XGBoostRegressor Overfull \hbox (37.18016pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Me anBaselineRegressionPipeline Overfull \hbox (20.73036pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineBinaryPipeline Overfull \hbox (35.1799pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mo deBaselineMulticlassPipeline Overfull \hbox (32.97968pt too wide) in paragraph at lines 629--631 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Mu lticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 632--633 []\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 633--634 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 633--634 \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 634--636 []\T1/pcr/m/n/10 detect_problem_type() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 636--638 []\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 639--640 []\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 643--645 []\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 645--647 []\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 648--650 []\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 648--650 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\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 650--652 \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 652--654 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 655--657 []\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 657--659 []\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 666--667 []\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 667--669 []\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 669--671 []\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 671--673 []\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 682--684 []\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 684--686 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Overfull \hbox (14.53993pt too wide) in paragraph at lines 686--688 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeClassifier Overfull \hbox (15.98012pt too wide) in paragraph at lines 688--690 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 690--691 []\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 693--695 []\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 695--697 []\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 697--698 []\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 698--700 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.ExtraTreesClassifier Overfull \hbox (6.39029pt too wide) in paragraph at lines 700--702 []\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 703--705 []\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 705--707 []\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 707--709 []\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 709--711 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder [380] Overfull \hbox (19.60023pt too wide) in paragraph at lines 713--715 []\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 715--717 []\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 717--719 []\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 719--721 []\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 721--723 []\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 723--725 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Overfull \hbox (31.26003pt too wide) in paragraph at lines 725--727 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleClassifier Overfull \hbox (32.70021pt too wide) in paragraph at lines 727--729 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 729--731 []\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 731--733 []\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 733--734 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Underfull \hbox (badness 5460) in paragraph at lines 747--748 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regress ionPipeline method\T1/ptm/m/n/10 ), Overfull \hbox (63.60025pt too wide) in paragraph at lines 748--750 []\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 750--752 []\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 752--754 []\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 754--756 []\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 756--758 []\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 758--760 []\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 760--762 []\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 762--764 []\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 764--766 []\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 766--768 []\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 768--770 []\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 770--772 []\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 772--774 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Underfull \hbox (badness 10000) in paragraph at lines 778--780 []\T1/pcr/m/n/10 get_all_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule Overfull \hbox (27.96046pt too wide) in paragraph at lines 780--782 []\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 782--784 []\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 784--786 []\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 786--788 []\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 788--790 []\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 790--792 []\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 792--794 []\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 794--796 []\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 796--798 []\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 798--799 []\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 799--801 []\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 801--803 []\T1/pcr/m/n/10 get_core_objective_names() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 803--804 []\T1/pcr/m/n/10 get_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 804--806 []\T1/pcr/m/n/10 get_default_primary_search_objective() Underfull \hbox (badness 10000) in paragraph at lines 806--808 []\T1/pcr/m/n/10 get_estimators() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 808--810 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 808--810 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 810--812 []\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 812--814 []\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 814--816 []\T1/pcr/m/n/10 get_non_core_objectives() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in m od-ule [381] Underfull \hbox (badness 10000) in paragraph at lines 817--818 []\T1/pcr/m/n/10 get_pipeline() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.automl.A utoMLSearch Underfull \hbox (badness 10000) in paragraph at lines 820--822 []\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 826--828 []\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 828--829 []\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 829--831 []\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 831--833 []\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 833--835 []\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 835--837 []\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 839--841 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 841--843 []\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 843--845 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 843--845 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 845--847 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 845--847 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 847--849 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 847--849 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 849--851 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 849--851 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 851--853 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 851--853 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 853--855 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 853--855 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 855--857 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 855--857 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 857--859 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 857--859 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 859--861 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 859--861 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 861--863 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 861--863 \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 863--865 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 869--871 []\T1/pcr/m/n/10 graph_prediction_vs_actual() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 871--873 []\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 877--879 []\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 879--881 []\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 881--882 []\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 882--884 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 882--884 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 884--886 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 884--886 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 886--888 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 886--888 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 888--890 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 888--890 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 890--892 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 890--892 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 892--894 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (22.63991pt too wide) in paragraph at lines 892--894 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 894--896 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (24.0801pt too wide) in paragraph at lines 894--896 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 896--898 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 896--898 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 898--900 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 898--900 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns [382] Underfull \hbox (badness 10000) in paragraph at lines 900--902 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 900--902 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 902--904 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 902--904 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 904--906 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 904--906 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 906--908 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 906--908 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 908--910 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 908--910 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 910--912 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 910--912 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 912--914 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 912--914 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 914--916 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 914--916 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 916--918 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 916--918 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 918--920 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 918--920 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 920--922 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 920--922 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 922--924 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 922--924 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 924--926 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 924--926 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 926--928 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 926--928 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 928--930 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 928--930 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 930--932 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 930--932 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 932--934 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (39.36pt too wide) in paragraph at lines 932--934 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 934--936 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (40.80019pt too wide) in paragraph at lines 934--936 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 936--938 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 936--938 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 938--940 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 938--940 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 940--942 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 942--944 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 942--944 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 944--946 []\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 946--948 []\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 948--950 []\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 950--952 []\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 952--954 []\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 954--956 []\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 962--963 []\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 963--965 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 963--965 \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 965--967 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 965--967 \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 967--969 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 969--971 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 971--973 []\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 977--979 []\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 979--980 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [383] Underfull \hbox (badness 10000) in paragraph at lines 983--985 []\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 985--987 []\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 991--993 []\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 993--995 []\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 995--997 []\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 997--999 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.CatBoostRegressor Overfull \hbox (9.60025pt too wide) in paragraph at lines 1001--1003 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1003--1005 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1005--1007 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1007--1009 []\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 1009--1011 []\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 1011--1013 []\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 1013--1015 []\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 1017--1019 []\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 1019--1021 []\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 1021--1023 []\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 1023--1025 []\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 1027--1029 []\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 1031--1033 []\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 1033--1035 []\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 1035--1037 []\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 1037--1039 []\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 1039--1041 []\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 1041--1043 []\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 1043--1045 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1045--1047 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1047--1049 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1049--1051 []\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 1051--1053 []\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 1053--1055 []\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 1055--1057 []\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 1057--1059 []\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 1059--1061 []\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 1063--1065 []\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 1065--1067 []\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 1068--1070 []\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 1076--1078 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in [384] Underfull \hbox (badness 10000) in paragraph at lines 1090--1092 []\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 1096--1098 []\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 1098--1100 []\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 1100--1101 []\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 1101--1103 []\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 1103--1105 []\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 1105--1107 []\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 1107--1109 []\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 1109--1111 []\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 1111--1113 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.BaselineRegressor Overfull \hbox (40.81021pt too wide) in paragraph at lines 1113--1115 []\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 1115--1117 []\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 1117--1119 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (56.53993pt too wide) in paragraph at lines 1119--1121 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeClassifier Overfull \hbox (57.98012pt too wide) in paragraph at lines 1121--1123 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DecisionTreeRegressor Overfull \hbox (21.46088pt too wide) in paragraph at lines 1123--1125 []\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 1125--1127 []\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 1127--1129 []\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 1129--1131 []\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 1131--1133 []\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 1133--1135 []\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 1137--1139 []\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 1139--1141 []\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 1141--1143 []\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 1143--1145 []\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 1145--1147 []\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 1147--1149 []\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 1149--1151 []\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 1151--1153 []\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 1153--1155 []\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 1155--1157 []\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 1157--1159 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (73.26003pt too wide) in paragraph at lines 1159--1161 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleClassifier Overfull \hbox (74.70021pt too wide) in paragraph at lines 1161--1163 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.StackedEnsembleRegressor Overfull \hbox (27.09074pt too wide) in paragraph at lines 1163--1165 []\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 1165--1167 []\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 1167--1169 []\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 1169--1171 []\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 1171--1173 []\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 1173--1175 []\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 1175--1177 []\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 1179--1181 []\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 1186--1188 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.ClassI mbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1189--1191 []\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 1191--1192 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck [385] Underfull \hbox (badness 10000) in paragraph at lines 1194--1196 []\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 1199--1201 []\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 1208--1210 []\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 1210--1212 []\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 1212--1214 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Overfull \hbox (8.53993pt too wide) in paragraph at lines 1218--1220 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeClassifier Overfull \hbox (9.98012pt too wide) in paragraph at lines 1220--1222 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DecisionTreeRegressor Underfull \hbox (badness 6927) in paragraph at lines 1222--1224 []\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 1224--1226 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.DropNullColumns Overfull \hbox (31.3796pt too wide) in paragraph at lines 1239--1241 []\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 1245--1247 []\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 1247--1249 []\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 1249--1251 []\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 1251--1253 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Overfull \hbox (25.26003pt too wide) in paragraph at lines 1257--1259 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleClassifier Overfull \hbox (26.70021pt too wide) in paragraph at lines 1259--1261 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1265--1267 []\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 1267--1269 []\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 1269--1271 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Underfull \hbox (badness 7851) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Regressi onPipeline at-tribute\T1/ptm/m/n/10 ), Overfull \hbox (54.5106pt too wide) in paragraph at lines 1279--1281 []\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 1281--1283 []\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 1283--1285 []\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 1285--1286 []\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 1286--1287 []\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 1290--1292 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \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 1292--1294 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass [386] Underfull \hbox (badness 10000) in paragraph at lines 1294--1295 []\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 1295--1297 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1299--1301 \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 1301--1303 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1301--1303 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1303--1305 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1305--1307 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1305--1307 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1307--1309 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1309--1311 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1311--1312 []\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 1312--1314 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1314--1316 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1316--1318 \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 1318--1320 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1320--1322 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1320--1322 \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 1322--1324 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1322--1324 \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 1324--1326 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1326--1327 []\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 1327--1329 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1329--1331 \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 1331--1333 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1331--1333 \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 1333--1335 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1333--1335 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1335--1337 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1337--1338 []\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 1338--1340 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1338--1340 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1340--1342 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1342--1344 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1344--1346 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1344--1346 \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 1346--1348 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1346--1348 \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 1348--1350 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1350--1351 []\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 1351--1352 []\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 1352--1354 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1352--1354 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMacro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1354--1356 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallMicro method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1356--1358 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1356--1358 \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 1358--1360 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1358--1360 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1360--1362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1362--1364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1365--1366 []\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 1366--1368 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1366--1368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary method\T1/ptm/ m/n/10 ), [387] Underfull \hbox (badness 10000) in paragraph at lines 1368--1369 []\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 1369--1371 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1369--1371 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1371--1373 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1371--1373 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1373--1375 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1375--1376 []\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 1376--1378 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1378--1380 \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 1380--1382 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1380--1382 \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 1382--1384 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1382--1384 \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 1384--1386 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1386--1387 []\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 1391--1392 []\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 1394--1396 []\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 1399--1401 []\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 1401--1403 []\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 1403--1405 []\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 1405--1407 []\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 1407--1409 []\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 1409--1411 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.BaselineClassifier Overfull \hbox (21.46036pt too wide) in paragraph at lines 1411--1413 []\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 1413--1415 []\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 1415--1417 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (38.53993pt too wide) in paragraph at lines 1417--1419 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeClassifier Overfull \hbox (39.98012pt too wide) in paragraph at lines 1419--1421 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.DecisionTreeRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1421--1423 []\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 1423--1425 []\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 1425--1427 []\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 1427--1429 []\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 1429--1431 []\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 1431--1433 []\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 1433--1435 []\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 1435--1437 []\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 1437--1439 []\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 1439--1441 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (55.26003pt too wide) in paragraph at lines 1441--1443 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleClassifier Overfull \hbox (56.70021pt too wide) in paragraph at lines 1443--1445 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.StackedEnsembleRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1445--1447 []\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 1447--1449 []\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 1449--1451 []\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 1451--1453 []\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 1453--1455 []\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 1455--1457 []\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 1458--1459 []\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 1459--1461 []\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 1461--1463 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline [388] Overfull \hbox (48.53014pt too wide) in paragraph at lines 1463--1465 []\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 1465--1467 []\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 1467--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (74.53993pt too wide) in paragraph at lines 1475--1477 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeClassifier Overfull \hbox (75.98012pt too wide) in paragraph at lines 1477--1479 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.DecisionTreeRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1479--1481 []\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 1481--1483 []\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 1483--1485 []\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 1485--1487 []\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 1487--1489 []\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 1489--1491 []\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 1491--1493 []\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 1493--1495 []\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 1495--1497 []\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 1497--1499 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (91.26003pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleClassifier Overfull \hbox (92.70021pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.StackedEnsembleRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1503--1505 []\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 1505--1507 []\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 1507--1509 []\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 1509--1511 []\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 1511--1513 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (9.96046pt too wide) in paragraph at lines 1513--1515 []\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 1515--1517 []\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 1517--1519 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BaselineRegressionPipeline Overfull \hbox (30.53014pt too wide) in paragraph at lines 1519--1521 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. BinaryClassificationPipeline Overfull \hbox (3.31042pt too wide) in paragraph at lines 1521--1523 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ClassificationPipeline Overfull \hbox (49.18016pt too wide) in paragraph at lines 1523--1525 []\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 1525--1527 []\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 1527--1529 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. ModeBaselineMulticlassPipeline Overfull \hbox (44.97968pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MulticlassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1531--1532 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. PipelineBase at- Underfull \hbox (badness 10000) in paragraph at lines 1532--1534 []\T1/pcr/m/n/10 problem_type \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. RegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 1536--1537 []\T1/pcr/m/n/10 propose() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.tuners.Random SearchTuner Underfull \hbox (badness 10000) in paragraph at lines 1543--1545 []\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 1545--1547 []\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 1554--1556 []\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 1556--1558 []\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 1558--1559 []\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 1559--1560 []\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 1560--1561 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [389] Underfull \hbox (badness 10000) in paragraph at lines 1565--1566 []\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 1566--1568 []\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 1568--1570 []\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 1572--1573 []\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 1573--1575 []\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 1575--1577 []\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 1577--1579 []\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 1579--1581 []\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 1583--1585 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Overfull \hbox (20.53993pt too wide) in paragraph at lines 1585--1587 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeClassifier Overfull \hbox (21.98012pt too wide) in paragraph at lines 1587--1589 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DecisionTreeRegressor Underfull \hbox (badness 10000) in paragraph at lines 1589--1590 []\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 1590--1592 []\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 1592--1594 []\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 1594--1596 []\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 1596--1597 []\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 1597--1599 []\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 1599--1601 []\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 1602--1604 []\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 1606--1608 []\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 1610--1612 []\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 1612--1614 []\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 1614--1616 []\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 1616--1618 []\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 1618--1620 []\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 1620--1622 []\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 1622--1624 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Overfull \hbox (37.26003pt too wide) in paragraph at lines 1624--1626 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleClassifier Overfull \hbox (38.70021pt too wide) in paragraph at lines 1626--1628 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.StackedEnsembleRegressor Underfull \hbox (badness 10000) in paragraph at lines 1628--1630 []\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 1630--1632 []\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 1632--1633 []\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 1633--1635 []\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 1635--1637 []\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 1637--1639 []\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 1641--1643 []\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 1643--1645 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multic lassClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 1648--1649 []\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 1653--1655 []\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 1655--1657 []\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 1657--1659 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective [390] Underfull \hbox (badness 5607) in paragraph at lines 1667--1668 []\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 1668--1669 []\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 1673--1674 []\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 1676--1678 []\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 1678--1679 []\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 1682--1683 []\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 1688--1689 []\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 1689--1690 []\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 1690--1692 []\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 1692--1694 []\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 1698--1700 []\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 1700--1701 []\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 1701--1703 []\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 1703--1705 []\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 1705--1707 []\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 1707--1709 []\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 1712--1713 []\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 1713--1714 []\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 1716--1718 []\T1/pcr/m/n/10 StackedEnsembleClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1718--1720 []\T1/pcr/m/n/10 StackedEnsembleRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\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 1727--1729 []\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 1729--1731 []\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 1731--1733 []\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 1733--1735 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1733--1735 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1735--1737 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1737--1739 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1737--1739 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1739--1741 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1739--1741 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1741--1743 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (22.63991pt too wide) in paragraph at lines 1741--1743 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (24.0801pt too wide) in paragraph at lines 1743--1745 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DecisionTreeRegress or Underfull \hbox (badness 10000) in paragraph at lines 1745--1747 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1745--1747 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r [391] Underfull \hbox (badness 10000) in paragraph at lines 1747--1749 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1747--1749 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1749--1751 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1749--1751 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1751--1753 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1751--1753 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1753--1755 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1753--1755 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1755--1757 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1755--1757 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1757--1759 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1757--1759 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1759--1761 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1759--1761 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1761--1763 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1761--1763 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 1763--1765 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (39.36pt too wide) in paragraph at lines 1763--1765 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleClas sifier Underfull \hbox (badness 10000) in paragraph at lines 1765--1767 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (40.80019pt too wide) in paragraph at lines 1765--1767 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StackedEnsembleRegr essor Underfull \hbox (badness 10000) in paragraph at lines 1767--1769 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1767--1769 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1769--1771 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1774--1775 []\T1/pcr/m/n/10 target_distribution() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 1775--1776 []\T1/pcr/m/n/10 TargetLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class i n Underfull \hbox (badness 10000) in paragraph at lines 1776--1777 []\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 1777--1779 []\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 1779--1781 []\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 1781--1783 []\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 1783--1785 []\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 1785--1787 []\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 1787--1789 []\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 1789--1791 []\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 1791--1793 []\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 1793--1795 []\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 1795--1797 []\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 1797--1799 []\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 1799--1801 []\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 1801--1803 []\T1/pcr/m/n/10 transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.c omponents.Transformer Overfull \hbox (25.17087pt too wide) in paragraph at lines 1808--1810 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. ClassImbalanceDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1811--1812 []\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 1814--1816 []\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 1816--1818 []\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 1818--1820 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1820--1822 []\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 1822--1824 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Overfull \hbox (19.69107pt too wide) in paragraph at lines 1824--1826 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. TargetLeakageDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1826--1828 \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 1828--1830 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1828--1830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1830--1831 []\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 1832--1833 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro [392] Underfull \hbox (badness 10000) in paragraph at lines 1833--1835 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1833--1835 \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 1835--1837 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1835--1837 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1837--1839 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1837--1839 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1839--1841 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1839--1841 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1841--1843 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1846--1847 []\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 1847--1848 []\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 1850--1851 []\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 1853--1855 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1853--1855 \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 1855--1857 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1857--1858 []\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 1858--1859 []\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 1860--1862 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1860--1862 \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 1862--1864 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1862--1864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1864--1865 []\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 1865--1866 []\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 1866--1868 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1866--1868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1868--1870 \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 1870--1871 []\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 1871--1873 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1871--1873 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro method\T1/ptm/ m/n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1873--1875 \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 1875--1877 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1878--1879 []\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 1879--1881 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1879--1881 \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 1883--1885 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1883--1885 \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 1885--1887 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1885--1887 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1887--1889 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1887--1889 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1889--1891 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1889--1891 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1894--1896 []\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 1896--1897 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [393]) (./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 (397 pages, 1874044 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: 2020-10-22T01:19:20.703403Z, end-time: 2020-10-22T01:19:20.760595Z, 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