Read the Docs build information Build id: 435987 Project: feature-labs-inc-evalml Version: latest Commit: b8e020ae932c8a87697d61736460aeaeb8ae687f Date: 2020-09-29T16:30:58.941917Z State: finished Success: True [rtd-command-info] start-time: 2020-09-29T16:36:01.224054Z, end-time: 2020-09-29T16:36:03.778023Z, duration: 2, exit-code: 0 git clone --no-single-branch --depth 50 git@github.com:alteryx/evalml.git . Cloning into '.'... Warning: Permanently added 'github.com,192.30.255.112' (RSA) to the list of known hosts. [rtd-command-info] start-time: 2020-09-29T16:36:04.206331Z, end-time: 2020-09-29T16:36:04.413935Z, 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 b8e020ae Replace `._transform` with public method to evaluate all the preprocessing steps of a pipeline (#1231) [rtd-command-info] start-time: 2020-09-29T16:36:04.519071Z, end-time: 2020-09-29T16:36:04.593669Z, duration: 0, exit-code: 0 git clean -d -f -f [rtd-command-info] start-time: 2020-09-29T16:36:06.034806Z, end-time: 2020-09-29T16:36:12.553912Z, duration: 6, exit-code: 0 python3.7 -mvirtualenv Using base prefix '/home/docs/.pyenv/versions/3.7.3' New python executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python3.7 Also creating executable in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/bin/python Installing setuptools, pip, wheel... done. [rtd-command-info] start-time: 2020-09-29T16:36:12.694781Z, end-time: 2020-09-29T16:36:13.816719Z, duration: 1, exit-code: 0 python -m pip install --upgrade --no-cache-dir pip Requirement already up-to-date: pip in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (20.2.3) [rtd-command-info] start-time: 2020-09-29T16:36:13.933944Z, end-time: 2020-09-29T16:36:27.549582Z, duration: 13, exit-code: 0 python -m pip install --upgrade --no-cache-dir setuptools==41.0.1 docutils==0.14 mock==1.0.1 pillow==5.4.1 alabaster>=0.7,<0.8,!=0.7.5 commonmark==0.8.1 recommonmark==0.5.0 sphinx<2 sphinx-rtd-theme<0.5 readthedocs-sphinx-ext<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 snowballstemmer>=1.1 Downloading snowballstemmer-2.0.0-py2.py3-none-any.whl (97 kB) Collecting sphinxcontrib-websupport Downloading sphinxcontrib_websupport-1.2.4-py2.py3-none-any.whl (39 kB) Collecting imagesize Downloading imagesize-1.2.0-py2.py3-none-any.whl (4.8 kB) Collecting requests>=2.0.0 Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB) Collecting babel!=2.0,>=1.3 Downloading Babel-2.8.0-py2.py3-none-any.whl (8.6 MB) Collecting packaging Downloading packaging-20.4-py2.py3-none-any.whl (37 kB) Collecting Pygments>=2.0 Downloading Pygments-2.7.1-py3-none-any.whl (944 kB) Collecting six>=1.5 Downloading six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting Jinja2>=2.3 Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB) Collecting sphinxcontrib-serializinghtml Downloading sphinxcontrib_serializinghtml-1.1.4-py2.py3-none-any.whl (89 kB) Collecting chardet<4,>=3.0.2 Downloading chardet-3.0.4-py2.py3-none-any.whl (133 kB) Collecting urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 Downloading urllib3-1.25.10-py2.py3-none-any.whl (127 kB) Collecting certifi>=2017.4.17 Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB) Collecting idna<3,>=2.5 Downloading idna-2.10-py2.py3-none-any.whl (58 kB) Collecting 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 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=4229338dc6f83f34f2c59ab4b32f5a5b672e1f4114ecde98cf26a0ff04cc7c04 Stored in directory: /tmp/pip-ephem-wheel-cache-i1g9o9ee/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=76cc04da53a7db158d400406562b0fa2fd91a800e99945bdf3a4018e0436018a Stored in directory: /tmp/pip-ephem-wheel-cache-i1g9o9ee/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0 Successfully built mock future Installing collected packages: setuptools, docutils, mock, pillow, alabaster, future, commonmark, snowballstemmer, sphinxcontrib-serializinghtml, sphinxcontrib-websupport, imagesize, chardet, urllib3, certifi, idna, requests, pytz, babel, six, pyparsing, packaging, Pygments, MarkupSafe, Jinja2, sphinx, recommonmark, sphinx-rtd-theme, readthedocs-sphinx-ext Attempting uninstall: setuptools Found existing installation: setuptools 50.3.0 Uninstalling setuptools-50.3.0: Successfully uninstalled setuptools-50.3.0 Successfully installed Jinja2-2.11.2 MarkupSafe-1.1.1 Pygments-2.7.1 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 urllib3-1.25.10 [rtd-command-info] start-time: 2020-09-29T16:36:27.894339Z, end-time: 2020-09-29T16:38:04.644164Z, duration: 96, exit-code: 0 python -m pip install --upgrade --upgrade-strategy eager --no-cache-dir . Processing /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest Collecting numpy>=1.16.4 Downloading numpy-1.19.2-cp37-cp37m-manylinux2010_x86_64.whl (14.5 MB) Collecting pandas>=0.25.0 Downloading pandas-1.1.2-cp37-cp37m-manylinux1_x86_64.whl (10.5 MB) Collecting scipy>=1.2.1 Downloading scipy-1.5.2-cp37-cp37m-manylinux1_x86_64.whl (25.9 MB) Collecting scikit-learn>=0.23 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-0.4.3-py2.py3-none-any.whl (15 kB) Collecting cloudpickle>=0.2.2 Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB) Collecting click>=7.0.0 Downloading click-7.1.2-py2.py3-none-any.whl (82 kB) Collecting psutil>=5.6.3 Downloading psutil-5.7.2.tar.gz (460 kB) Collecting requirements-parser>=0.2.0 Downloading requirements-parser-0.2.0.tar.gz (6.3 kB) Collecting shap>=0.35.0 Downloading shap-0.36.0.tar.gz (319 kB) Collecting texttable>=1.6.2 Downloading texttable-1.6.3-py2.py3-none-any.whl (10 kB) Collecting plotly>=4.2.1 Downloading plotly-4.10.0-py2.py3-none-any.whl (13.0 MB) Collecting ipywidgets>=7.5 Downloading ipywidgets-7.5.1-py2.py3-none-any.whl (121 kB) Collecting xgboost>=0.82 Downloading xgboost-1.2.0-py3-none-manylinux2010_x86_64.whl (148.9 MB) Collecting catboost>=0.20 Downloading catboost-0.24.1-cp37-none-manylinux1_x86_64.whl (66.0 MB) Collecting lightgbm>=2.3.1 Downloading lightgbm-3.0.0-py2.py3-none-manylinux1_x86_64.whl (1.7 MB) Requirement already up-to-date: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->evalml==0.13.2) (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-0.16.0-py3-none-any.whl (300 kB) Collecting pyaml>=16.9 Downloading pyaml-20.4.0-py2.py3-none-any.whl (17 kB) Collecting tqdm>4.25.0 Downloading tqdm-4.50.0-py2.py3-none-any.whl (70 kB) Collecting slicer Downloading slicer-0.0.4-py3-none-any.whl (13 kB) Collecting numba Downloading numba-0.51.2-cp37-cp37m-manylinux2014_x86_64.whl (3.1 MB) Collecting retrying>=1.3.3 Downloading retrying-1.3.3.tar.gz (10 kB) Requirement already up-to-date: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->evalml==0.13.2) (1.15.0) Collecting ipython>=4.0.0; python_version >= "3.3" Downloading ipython-7.18.1-py3-none-any.whl (786 kB) Collecting nbformat>=4.2.0 Downloading nbformat-5.0.7-py3-none-any.whl (170 kB) Collecting ipykernel>=4.5.1 Downloading ipykernel-5.3.4-py3-none-any.whl (120 kB) Collecting widgetsnbextension~=3.5.0 Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB) Collecting traitlets>=4.3.1 Downloading traitlets-5.0.4-py3-none-any.whl (98 kB) Collecting matplotlib Downloading matplotlib-3.3.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB) Collecting graphviz Downloading graphviz-0.14.1-py2.py3-none-any.whl (18 kB) Collecting PyYAML Downloading PyYAML-5.3.1.tar.gz (269 kB) Collecting llvmlite<0.35,>=0.34.0.dev0 Downloading llvmlite-0.34.0-cp37-cp37m-manylinux2010_x86_64.whl (24.6 MB) Collecting setuptools Downloading setuptools-50.3.0-py3-none-any.whl (785 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.7-py3-none-any.whl (355 kB) Collecting backcall Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB) Requirement already up-to-date: pygments in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->evalml==0.13.2) (2.7.1) Collecting pexpect>4.3; sys_platform != "win32" Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB) Collecting jedi>=0.10 Downloading jedi-0.17.2-py2.py3-none-any.whl (1.4 MB) Collecting pickleshare Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting decorator Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB) Collecting jupyter-core Downloading jupyter_core-4.6.3-py2.py3-none-any.whl (83 kB) Collecting jsonschema!=2.5.0,>=2.4 Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB) Collecting ipython-genutils Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB) Collecting tornado>=4.2 Downloading tornado-6.0.4.tar.gz (496 kB) Collecting jupyter-client Downloading jupyter_client-6.1.7-py3-none-any.whl (108 kB) Collecting notebook>=4.4.1 Downloading notebook-6.1.4-py3-none-any.whl (9.5 MB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.2.0-cp37-cp37m-manylinux1_x86_64.whl (88 kB) Collecting pillow>=6.2.0 Downloading Pillow-7.2.0-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) Requirement already up-to-date: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.13.2) (2020.6.20) Requirement already up-to-date: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->evalml==0.13.2) (2.4.7) 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 parso<0.8.0,>=0.7.0 Downloading parso-0.7.1-py2.py3-none-any.whl (109 kB) Collecting importlib-metadata; python_version < "3.8" Downloading importlib_metadata-2.0.0-py2.py3-none-any.whl (31 kB) Collecting pyrsistent>=0.14.0 Downloading pyrsistent-0.17.3.tar.gz (106 kB) Collecting attrs>=17.4.0 Downloading attrs-20.2.0-py2.py3-none-any.whl (48 kB) Collecting pyzmq>=13 Downloading pyzmq-19.0.2-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB) Requirement already up-to-date: jinja2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.13.2) (2.11.2) Collecting Send2Trash Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB) Collecting terminado>=0.8.3 Downloading terminado-0.9.1-py3-none-any.whl (13 kB) Collecting prometheus-client Downloading prometheus_client-0.8.0-py2.py3-none-any.whl (53 kB) Collecting argon2-cffi Downloading argon2_cffi-20.1.0-cp35-abi3-manylinux1_x86_64.whl (97 kB) Collecting nbconvert Downloading nbconvert-6.0.6-py3-none-any.whl (551 kB) Collecting zipp>=0.5 Downloading zipp-3.2.0-py3-none-any.whl (5.1 kB) Requirement already up-to-date: MarkupSafe>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.13.2) (1.1.1) Collecting cffi>=1.0.0 Downloading cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Collecting jupyterlab-pygments Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB) Collecting defusedxml Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB) Collecting entrypoints>=0.2.2 Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB) Collecting mistune<2,>=0.8.1 Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB) Collecting bleach Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB) Collecting nbclient<0.6.0,>=0.5.0 Downloading nbclient-0.5.0-py3-none-any.whl (65 kB) Collecting testpath Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB) Collecting pandocfilters>=1.4.1 Downloading pandocfilters-1.4.2.tar.gz (14 kB) Collecting pycparser Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB) Requirement already up-to-date: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->evalml==0.13.2) (20.4) Collecting webencodings Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB) 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) Building wheels for collected packages: evalml, psutil, requirements-parser, shap, retrying, PyYAML, tornado, pyrsistent, pandocfilters Building wheel for evalml (setup.py): started Building wheel for evalml (setup.py): finished with status 'done' Created wheel for evalml: filename=evalml-0.13.2-py3-none-any.whl size=5967355 sha256=a1011d41265f45d685690257c96b09dfd508c7e419af23e4728597f2fdca38e3 Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/wheels/9e/21/10/381af54b3fd898f3030a593880d99f016a134a0a141dcf2f28 Building wheel for psutil (setup.py): started Building wheel for psutil (setup.py): finished with status 'done' Created wheel for psutil: filename=psutil-5.7.2-cp37-cp37m-linux_x86_64.whl size=283658 sha256=1452403e9f2e9ba48b20a91f9b524249d08f88bda6a74442c02998cbae3a97f4 Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=76dc4276f3a3bf2ff8b8d5e4bc23778b3e3170115a3994fe1c429199b4b22fb8 Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=461241 sha256=73a5a2a6681ce6c035c23e5ea03714a104734387edc161eb2445d0821ef7017d Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=315fe3150008289a81ed0acc7bc75515285b424e414fab6096f0ffbeac710bca Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=50892b1ac9a840e05a13c2ceb9e9b0ed2ec825a1bb229e5f8231a90a509a12e5 Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=428558 sha256=688f346343c922244d6e918c7009a5eced471162ee651249416f74d21b59f77b Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=115294 sha256=6bbb64910973c3dfb936588aabd3476f5da6e0237a98d8127c14715882f6cee9 Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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=c801f9e942d349016eebae3ce95f00415ab356f300696fee15c24c001424efcd Stored in directory: /tmp/pip-ephem-wheel-cache-_15l2gwb/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, retrying, plotly, wcwidth, prompt-toolkit, backcall, ptyprocess, pexpect, ipython-genutils, traitlets, parso, jedi, pickleshare, decorator, ipython, jupyter-core, zipp, importlib-metadata, pyrsistent, attrs, jsonschema, nbformat, tornado, pyzmq, jupyter-client, ipykernel, Send2Trash, terminado, prometheus-client, pycparser, cffi, argon2-cffi, jupyterlab-pygments, defusedxml, entrypoints, mistune, webencodings, bleach, nest-asyncio, async-generator, nbclient, testpath, pandocfilters, nbconvert, notebook, widgetsnbextension, ipywidgets, xgboost, kiwisolver, pillow, cycler, matplotlib, graphviz, catboost, lightgbm, evalml Attempting uninstall: setuptools Found existing installation: setuptools 41.0.1 Uninstalling setuptools-41.0.1: Successfully uninstalled setuptools-41.0.1 Attempting uninstall: pillow Found existing installation: Pillow 5.4.1 Uninstalling Pillow-5.4.1: Successfully uninstalled Pillow-5.4.1 Successfully installed 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-0.24.1 cffi-1.14.3 click-7.1.2 cloudpickle-1.6.0 colorama-0.4.3 cycler-0.10.0 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 evalml-0.13.2 graphviz-0.14.1 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-0.16.0 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-0.5.0 nbconvert-6.0.6 nbformat-5.0.7 nest-asyncio-1.4.1 notebook-6.1.4 numba-0.51.2 numpy-1.19.2 pandas-1.1.2 pandocfilters-1.4.2 parso-0.7.1 pexpect-4.8.0 pickleshare-0.7.5 pillow-7.2.0 plotly-4.10.0 prometheus-client-0.8.0 prompt-toolkit-3.0.7 psutil-5.7.2 ptyprocess-0.6.0 pyaml-20.4.0 pycparser-2.20 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-1.5.2 setuptools-50.3.0 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-4.50.0 traitlets-5.0.4 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 xgboost-1.2.0 zipp-3.2.0 [rtd-command-info] start-time: 2020-09-29T16:38:04.900228Z, end-time: 2020-09-29T16:38:39.034693Z, duration: 34, exit-code: 0 python -m pip install --exists-action=w --no-cache-dir -r dev-requirements.txt Requirement already satisfied: numpy>=1.16.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 1)) (1.19.2) Requirement already satisfied: pandas>=0.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 2)) (1.1.2) Requirement already satisfied: scipy>=1.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 3)) (1.5.2) Requirement already satisfied: scikit-learn>=0.23 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 4)) (0.23.2) Requirement already satisfied: scikit-optimize>=0.8 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 5)) (0.8.1) Requirement already satisfied: colorama in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 6)) (0.4.3) Requirement already satisfied: cloudpickle>=0.2.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 7)) (1.6.0) Requirement already satisfied: click>=7.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 8)) (7.1.2) Requirement already satisfied: psutil>=5.6.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 9)) (5.7.2) Requirement already satisfied: requirements-parser>=0.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 10)) (0.2.0) Requirement already satisfied: shap>=0.35.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 11)) (0.36.0) Requirement already satisfied: texttable>=1.6.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r core-requirements.txt (line 12)) (1.6.3) Requirement already satisfied: plotly>=4.2.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.10.0) Requirement already satisfied: ipywidgets>=7.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (7.5.1) Requirement already satisfied: xgboost>=0.82 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (1.2.0) Requirement already satisfied: catboost>=0.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (0.24.1) Requirement already satisfied: lightgbm>=2.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (3.0.0) Collecting pytest==4.4.1 Downloading pytest-4.4.1-py2.py3-none-any.whl (223 kB) Collecting pytest-xdist==1.26.1 Downloading pytest_xdist-1.26.1-py2.py3-none-any.whl (35 kB) Collecting pytest-cov==2.6.1 Downloading pytest_cov-2.6.1-py2.py3-none-any.whl (16 kB) Collecting nbval==0.9.3 Downloading nbval-0.9.3-py2.py3-none-any.whl (22 kB) Requirement already satisfied: graphviz>=0.13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from -r test-requirements.txt (line 5)) (0.14.1) Collecting codecov==2.1.0 Downloading codecov-2.1.0.tar.gz (17 kB) Collecting category_encoders>=2.0.0 Downloading category_encoders-2.2.2-py2.py3-none-any.whl (80 kB) Collecting featuretools Downloading featuretools-0.19.0-py3-none-any.whl (285 kB) Collecting nlp_primitives>=1.0.0 Downloading nlp_primitives-1.0.0-py3-none-any.whl (23 kB) Collecting flake8==3.7.0 Downloading flake8-3.7.0-py2.py3-none-any.whl (68 kB) Collecting autopep8==1.4.3 Downloading autopep8-1.4.3.tar.gz (113 kB) Collecting isort==4.3.4 Downloading isort-4.3.4-py3-none-any.whl (45 kB) Collecting pydata-sphinx-theme==0.3.1 Downloading pydata_sphinx_theme-0.3.1-py3-none-any.whl (61 kB) Collecting Sphinx==2.0.1 Downloading Sphinx-2.0.1-py2.py3-none-any.whl (3.2 MB) Collecting nbconvert==5.5.0 Downloading nbconvert-5.5.0-py2.py3-none-any.whl (447 kB) Collecting nbsphinx==0.4.2 Downloading nbsphinx-0.4.2-py2.py3-none-any.whl (20 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pandas>=0.25.0->-r core-requirements.txt (line 2)) (2020.1) Requirement already satisfied: threadpoolctl>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (2.1.0) Requirement already satisfied: joblib>=0.11 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-learn>=0.23->-r core-requirements.txt (line 4)) (0.16.0) Requirement already satisfied: pyaml>=16.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from scikit-optimize>=0.8->-r core-requirements.txt (line 5)) (20.4.0) Requirement already satisfied: tqdm>4.25.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (4.50.0) Requirement already satisfied: slicer in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.0.4) Requirement already satisfied: numba in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from shap>=0.35.0->-r core-requirements.txt (line 11)) (0.51.2) Requirement already satisfied: six in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.15.0) Requirement already satisfied: retrying>=1.3.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from plotly>=4.2.1->-r requirements.txt (line 2)) (1.3.3) Requirement already satisfied: nbformat>=4.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.7) Requirement already satisfied: ipython>=4.0.0; python_version >= "3.3" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (7.18.1) Requirement already satisfied: widgetsnbextension~=3.5.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (3.5.1) Requirement already satisfied: ipykernel>=4.5.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.3.4) Requirement already satisfied: traitlets>=4.3.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipywidgets>=7.5->-r requirements.txt (line 3)) (5.0.4) Requirement already satisfied: matplotlib in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from catboost>=0.20->-r requirements.txt (line 5)) (3.3.2) Collecting pluggy>=0.9 Downloading pluggy-0.13.1-py2.py3-none-any.whl (18 kB) Requirement already satisfied: attrs>=17.4.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (20.2.0) Collecting more-itertools>=4.0.0; python_version > "2.7" Downloading more_itertools-8.5.0-py3-none-any.whl (44 kB) Requirement already satisfied: setuptools in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pytest==4.4.1->-r test-requirements.txt (line 1)) (50.3.0) Collecting py>=1.5.0 Downloading py-1.9.0-py2.py3-none-any.whl (99 kB) Collecting atomicwrites>=1.0 Downloading atomicwrites-1.4.0-py2.py3-none-any.whl (6.8 kB) Collecting execnet>=1.1 Downloading execnet-1.7.1-py2.py3-none-any.whl (39 kB) Collecting pytest-forked Downloading pytest_forked-1.3.0-py2.py3-none-any.whl (4.7 kB) Collecting coverage>=4.4 Downloading coverage-5.3-cp37-cp37m-manylinux1_x86_64.whl (229 kB) Requirement already satisfied: jupyter-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbval==0.9.3->-r test-requirements.txt (line 4)) (6.1.7) Requirement already satisfied: requests>=2.7.9 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from codecov==2.1.0->-r test-requirements.txt (line 6)) (2.24.0) Collecting patsy>=0.5.1 Downloading patsy-0.5.1-py2.py3-none-any.whl (231 kB) Collecting statsmodels>=0.9.0 Downloading statsmodels-0.12.0-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting dask[dataframe]>=2.12.0 Downloading dask-2.28.0-py3-none-any.whl (848 kB) Requirement already satisfied: pyyaml>=3.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from featuretools->-r test-requirements.txt (line 8)) (5.3.1) Collecting distributed>=2.12.0 Downloading distributed-2.28.0-py3-none-any.whl (652 kB) Collecting nltk>=3.4.5 Downloading nltk-3.5.zip (1.4 MB) Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from flake8==3.7.0->-r dev-requirements.txt (line 3)) (0.3) Collecting 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: packaging in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (20.4) Requirement already satisfied: babel!=2.0,>=1.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.8.0) Requirement already satisfied: imagesize in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.2.0) Requirement already satisfied: snowballstemmer>=1.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.0.0) Requirement already satisfied: alabaster<0.8,>=0.7 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.7.12) Requirement already satisfied: Jinja2>=2.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.11.2) Requirement already satisfied: Pygments>=2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (2.7.1) Collecting sphinxcontrib-devhelp Downloading sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl (84 kB) Collecting sphinxcontrib-jsmath Downloading sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl (5.1 kB) Requirement already satisfied: sphinxcontrib-serializinghtml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.4) Collecting sphinxcontrib-htmlhelp Downloading sphinxcontrib_htmlhelp-1.0.3-py2.py3-none-any.whl (96 kB) Requirement already satisfied: docutils>=0.12 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (0.14) Collecting sphinxcontrib-qthelp Downloading sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl (90 kB) Collecting sphinxcontrib-applehelp Downloading sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl (121 kB) Requirement already satisfied: testpath in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.4.4) Requirement already satisfied: pandocfilters>=1.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (1.4.2) Requirement already satisfied: defusedxml in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.6.0) Requirement already satisfied: jupyter-core in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (4.6.3) Requirement already satisfied: bleach in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (3.2.1) Requirement already satisfied: mistune>=0.8.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.8.4) Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from numba->shap>=0.35.0->-r core-requirements.txt (line 11)) (0.34.0) Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.2.0) Requirement already satisfied: ipython-genutils in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: decorator in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (4.4.2) Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (3.0.7) Requirement already satisfied: pickleshare in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.7.5) Requirement already satisfied: pexpect>4.3; sys_platform != "win32" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (4.8.0) Requirement already satisfied: jedi>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.2) Requirement already satisfied: backcall in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: notebook>=4.4.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.1.4) Requirement already satisfied: tornado>=4.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.5->-r requirements.txt (line 3)) (6.0.4) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2.4.7) Requirement already satisfied: cycler>=0.10 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (0.10.0) Requirement already satisfied: pillow>=6.2.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (7.2.0) Requirement already satisfied: certifi>=2020.06.20 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (2020.6.20) Requirement already satisfied: kiwisolver>=1.0.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from matplotlib->catboost>=0.20->-r requirements.txt (line 5)) (1.2.0) Requirement already satisfied: importlib-metadata>=0.12; python_version < "3.8" in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (2.0.0) Collecting apipkg>=1.4 Downloading apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Requirement already satisfied: pyzmq>=13 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jupyter-client->nbval==0.9.3->-r test-requirements.txt (line 4)) (19.0.2) Requirement already satisfied: idna<3,>=2.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (2.10) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (1.25.10) Requirement already satisfied: chardet<4,>=3.0.2 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from requests>=2.7.9->codecov==2.1.0->-r test-requirements.txt (line 6)) (3.0.4) Collecting fsspec>=0.6.0; extra == "dataframe" Downloading fsspec-0.8.3-py3-none-any.whl (88 kB) Collecting partd>=0.3.10; extra == "dataframe" Downloading partd-1.1.0-py3-none-any.whl (19 kB) Collecting toolz>=0.8.2; extra == "dataframe" Downloading toolz-0.11.1-py3-none-any.whl (55 kB) Collecting tblib>=1.6.0 Downloading tblib-1.7.0-py2.py3-none-any.whl (12 kB) Collecting sortedcontainers!=2.0.0,!=2.0.1 Downloading sortedcontainers-2.2.2-py2.py3-none-any.whl (29 kB) Collecting zict>=0.1.3 Downloading zict-2.0.0-py3-none-any.whl (10 kB) Collecting msgpack>=0.6.0 Downloading msgpack-1.0.0-cp37-cp37m-manylinux1_x86_64.whl (275 kB) Collecting regex Downloading regex-2020.9.27-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/latest/lib/python3.7/site-packages (from Jinja2>=2.3->Sphinx==2.0.1->-r dev-requirements.txt (line 7)) (1.1.1) Requirement already satisfied: webencodings in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from bleach->nbconvert==5.5.0->-r dev-requirements.txt (line 8)) (0.5.1) Requirement already satisfied: pyrsistent>=0.14.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.17.3) Requirement already satisfied: wcwidth in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.2.5) Requirement already satisfied: ptyprocess>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from pexpect>4.3; sys_platform != "win32"->ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.6.0) Requirement already satisfied: parso<0.8.0,>=0.7.0 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from jedi>=0.10->ipython>=4.0.0; python_version >= "3.3"->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.7.1) Requirement already satisfied: argon2-cffi in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (20.1.0) Requirement already satisfied: prometheus-client in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.8.0) Requirement already satisfied: Send2Trash in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.5.0) Requirement already satisfied: terminado>=0.8.3 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (0.9.1) Requirement already satisfied: zipp>=0.5 in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from importlib-metadata>=0.12; python_version < "3.8"->pluggy>=0.9->pytest==4.4.1->-r test-requirements.txt (line 1)) (3.2.0) 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/latest/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (1.14.3) Requirement already satisfied: pycparser in /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/envs/latest/lib/python3.7/site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.5->-r requirements.txt (line 3)) (2.20) Building wheels for collected packages: codecov, autopep8, 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=102e5fc115d0a26882168dbcaac40dbb2bf814e840ae85f1910d0b6629346039 Stored in directory: /tmp/pip-ephem-wheel-cache-qlnoqueo/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=7977ef458958e5f9d8e6df907c282ab94da8a059998005aac78625d8c223ec5a Stored in directory: /tmp/pip-ephem-wheel-cache-qlnoqueo/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=1434672 sha256=a650fb84a10a5c2bf3c44ab38e92e54fae189b9e9952be8ddd838bd390bab2f5 Stored in directory: /tmp/pip-ephem-wheel-cache-qlnoqueo/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=9cd919fab5b19551bb10b70c9aa6036d9506090c663e58ba9fa0380575be1212 Stored in directory: /tmp/pip-ephem-wheel-cache-qlnoqueo/wheels/7d/21/ce/56f01c644a11bde5d09ecae16d9b5e9d7e988187624fd28fec Successfully built codecov autopep8 nltk locket Installing collected packages: pluggy, more-itertools, py, atomicwrites, pytest, apipkg, execnet, pytest-forked, pytest-xdist, coverage, pytest-cov, nbval, codecov, patsy, statsmodels, category-encoders, fsspec, toolz, locket, partd, dask, tblib, sortedcontainers, heapdict, zict, msgpack, distributed, featuretools, regex, nltk, nlp-primitives, mccabe, pycodestyle, pyflakes, flake8, autopep8, isort, sphinxcontrib-devhelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-qthelp, sphinxcontrib-applehelp, Sphinx, pydata-sphinx-theme, nbconvert, nbsphinx Attempting uninstall: Sphinx Found existing installation: Sphinx 1.8.5 Uninstalling Sphinx-1.8.5: Successfully uninstalled Sphinx-1.8.5 Attempting uninstall: nbconvert Found existing installation: nbconvert 6.0.6 Uninstalling nbconvert-6.0.6: Successfully uninstalled nbconvert-6.0.6 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-2.28.0 distributed-2.28.0 execnet-1.7.1 featuretools-0.19.0 flake8-3.7.0 fsspec-0.8.3 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-2020.9.27 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: 2020-09-29T16:39:05.812192Z, end-time: 2020-09-29T16:39:05.926224Z, duration: 0, exit-code: 0 cat docs/source/conf.py # -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import evalml import os import sys import subprocess from sphinx.ext.autodoc import (Documenter, MethodDocumenter) from sphinx.ext.autodoc import MethodDocumenter, Documenter path = os.path.join('..', '..') sys.path.insert(0, os.path.abspath(path)) # -- Project information ----------------------------------------------------- project = 'EvalML' copyright = '2019, Alteryx, Inc.' author = 'Alteryx Innovation Labs' # The short X.Y version version = evalml.__version__ # The full version, including alpha/beta/rc tags release = evalml.__version__ # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'nbsphinx', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx.ext.extlinks', 'sphinx.ext.graphviz', 'sphinx.ext.inheritance_diagram' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The main toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['**.ipynb_checkpoints'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "pydata_sphinx_theme" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "images/evalml_horizontal.svg" # The name of an image file (relative to this directory) to use as a favicon of # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = "images/favicon.ico" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'EvalMLdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'EvalML.tex', 'EvalML Documentation', author, 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'evalml', 'EvalML Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'EvalML', 'EvalML Documentation', author, 'EvalML', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # If evalml is open-sourced: replace github specific style.css extlinks = { 'issue': ('https://github.com/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="LR", size='"1000, 333"', fontsize=30, labelfontsize=30, ratio='compress', dpi=960) class AccessorLevelDocumenter(Documenter): """ Documenter subclass for objects on accessor level (methods, attributes). Referenced pandas-sphinx-theme (https://github.com/pandas-dev/pandas-sphinx-theme) and sphinx-doc (https://github.com/sphinx-doc/sphinx/blob/8c7faed6fcbc6b7d40f497698cb80fc10aee1ab3/sphinx/ext/autodoc/__init__.py#L846) """ def resolve_name(self, modname, parents, path, base): modname = 'evalml' mod_cls = path.rstrip('.') mod_cls = mod_cls.split('.') return modname, mod_cls + [base] class AccessorCallableDocumenter(AccessorLevelDocumenter, MethodDocumenter): """ This documenter lets us removes .__call__ from the method signature for callable accessors like Series.plot """ objtype = "accessorcallable" directivetype = "method" # lower than MethodDocumenter; otherwise the doc build prints warnings priority = 0.5 def format_name(self): return MethodDocumenter.format_name(self).rstrip(".__call__") class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter): objtype = 'accessormethod' directivetype = 'method' # lower than MethodDocumenter so this is not chosen for normal methods priority = 0.6 def setup(app): app.add_javascript('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js') app.add_stylesheet("style.css") app.add_autodocumenter(AccessorCallableDocumenter) app.add_autodocumenter(AccessorMethodDocumenter) ########################################################################### # auto-created readthedocs.org specific configuration # ########################################################################### # # The following code was added during an automated build on readthedocs.org # It is auto created and injected for every build. The result is based on the # conf.py.tmpl file found in the readthedocs.org codebase: # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl # import importlib import sys import os.path from six import string_types from sphinx import version_info # Get suffix for proper linking to GitHub # This is deprecated in Sphinx 1.3+, # as each page can have its own suffix if globals().get('source_suffix', False): if isinstance(source_suffix, string_types): SUFFIX = source_suffix elif isinstance(source_suffix, (list, tuple)): # Sphinx >= 1.3 supports list/tuple to define multiple suffixes SUFFIX = source_suffix[0] elif isinstance(source_suffix, dict): # Sphinx >= 1.8 supports a mapping dictionary for multiple suffixes SUFFIX = list(source_suffix.keys())[0] # make a ``list()`` for py2/py3 compatibility else: # default to .rst SUFFIX = '.rst' else: SUFFIX = '.rst' # Add RTD Static Path. Add to the end because it overwrites previous files. if not 'html_static_path' in globals(): html_static_path = [] if os.path.exists('_static'): html_static_path.append('_static') # Add RTD Theme only if they aren't overriding it already using_rtd_theme = ( ( 'html_theme' in globals() and html_theme in ['default'] and # Allow people to bail with a hack of having an html_style 'html_style' not in globals() ) or 'html_theme' not in globals() ) if using_rtd_theme: theme = importlib.import_module('sphinx_rtd_theme') html_theme = 'sphinx_rtd_theme' html_style = None html_theme_options = {} if 'html_theme_path' in globals(): html_theme_path.append(theme.get_html_theme_path()) else: html_theme_path = [theme.get_html_theme_path()] if globals().get('websupport2_base_url', False): websupport2_base_url = 'https://readthedocs.com/websupport' websupport2_static_url = 'https://assets.readthedocs.com/' #Add project information to the template context. context = { 'using_theme': using_rtd_theme, 'html_theme': html_theme, 'current_version': "latest", 'version_slug': "latest", 'MEDIA_URL': "https://media.readthedocs.com/media/", 'STATIC_URL': "https://assets.readthedocs.com/", 'PRODUCTION_DOMAIN': "readthedocs.com", 'versions': [ ], 'downloads': [ ], 'subprojects': [ ], 'slug': 'feature-labs-inc-evalml', 'name': u'EvalML', 'rtd_language': u'en', 'programming_language': u'words', 'canonical_url': 'https://evalml.alteryx.com/en/stable/', 'analytics_code': 'UA-64679566-12', 'single_version': False, 'conf_py_path': '/docs/source/', 'api_host': 'https://readthedocs.com', 'github_user': 'alteryx', 'proxied_api_host': '/_', 'github_repo': 'evalml', 'github_version': 'main', 'display_github': True, 'bitbucket_user': 'None', 'bitbucket_repo': 'None', 'bitbucket_version': 'main', 'display_bitbucket': False, 'gitlab_user': 'None', 'gitlab_repo': 'None', 'gitlab_version': 'main', 'display_gitlab': False, 'READTHEDOCS': True, 'using_theme': (html_theme == "default"), 'new_theme': (html_theme == "sphinx_rtd_theme"), 'source_suffix': SUFFIX, 'ad_free': False, 'docsearch_disabled': False, 'user_analytics_code': 'UA-64679566-12', 'global_analytics_code': 'UA-17997319-2', 'commit': 'b8e020ae', } if 'html_context' in globals(): html_context.update(context) else: html_context = context # Add custom RTD extension if 'extensions' in globals(): # Insert at the beginning because it can interfere # with other extensions. # See https://github.com/rtfd/readthedocs.org/pull/4054 extensions.insert(0, "readthedocs_ext.readthedocs") else: extensions = ["readthedocs_ext.readthedocs"] # Add External version warning banner to the external version documentation if 'branch' == 'external': extensions.insert(1, "readthedocs_ext.external_version_warning") project_language = 'en' # User's Sphinx configurations language_user = globals().get('language', None) latex_engine_user = globals().get('latex_engine', None) latex_elements_user = globals().get('latex_elements', None) # Remove this once xindy gets installed in Docker image and XINDYOPS # env variable is supported # https://github.com/rtfd/readthedocs-docker-images/pull/98 latex_use_xindy = False chinese = any([ language_user in ('zh_CN', 'zh_TW'), project_language in ('zh_CN', 'zh_TW'), ]) japanese = any([ language_user == 'ja', project_language == 'ja', ]) if chinese: latex_engine = latex_engine_user or 'xelatex' latex_elements_rtd = { 'preamble': '\\usepackage[UTF8]{ctex}\n', } latex_elements = latex_elements_user or latex_elements_rtd elif japanese: latex_engine = latex_engine_user or 'platex' # Make sure our build directory is always excluded exclude_patterns = globals().get('exclude_patterns', []) exclude_patterns.extend(['_build']) [rtd-command-info] start-time: 2020-09-29T16:39:06.246184Z, end-time: 2020-09-29T16:48:49.413087Z, duration: 583, exit-code: 0 python sphinx-build -T -E -W --keep-going -b readthedocs -d _build/doctrees-readthedocs -D language=en . _build/html Running Sphinx v2.0.1 Matplotlib is building the font cache; this may take a moment. loading translations [en]... done making output directory... done [autosummary] generating autosummary for: api_reference.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.AutoMLSearch.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.AutoMLAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.automl.automl_algorithm.IterativeAlgorithm.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.ClassImbalanceDataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheck.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckError.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessage.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckMessageType.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataCheckWarning.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.data_checks.DataChecks.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.detect_problem_type.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.problem_types.handle_problem_types.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.GridSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.RandomSearchTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.SKOptTuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.tuners.Tuner.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.convert_to_seconds.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_seed.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.get_random_state.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/evalml.utils.import_or_raise.rst [autosummary] generating autosummary for: /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.add_to_rankings.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.describe_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.get_pipeline.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.load.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.save.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.AutoMLSearch.search.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result.rst, ..., /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.RandomSearchTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.SKOptTuner.propose.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.__init__.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.add.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.is_search_space_exhausted.rst, /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/generated/methods/evalml.tuners.Tuner.propose.rst building [mo]: targets for 0 po files that are out of date building [readthedocs]: targets for 18 source files that are out of date updating environment: 782 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.data_checks.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.LabelLeakageDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_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_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... [ 6%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 7%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 8%] generated/evalml.objectives.MCCBinary reading sources... [ 8%] generated/evalml.objectives.MCCMulticlass reading sources... [ 8%] generated/evalml.objectives.MSE reading sources... [ 8%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 9%] generated/evalml.objectives.Precision reading sources... [ 9%] generated/evalml.objectives.PrecisionMacro reading sources... [ 9%] generated/evalml.objectives.PrecisionMicro reading sources... [ 9%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 9%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 10%] generated/evalml.objectives.RecallWeighted reading sources... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 12%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 12%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] 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... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] 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... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.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.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 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... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 30%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.R2.score reading sources... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 65%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 65%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 72%] 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... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 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... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 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... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 95%] 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... [ 96%] 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... [ 97%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 98%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] api_reference writing output... [ 0%] demos/cost_benefit_matrix writing output... [ 0%] demos/fraud writing output... [ 0%] demos/lead_scoring writing output... [ 0%] generated/evalml.automl.AutoMLSearch writing output... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm writing output... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm writing output... [ 1%] generated/evalml.data_checks.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.LabelLeakageDataCheck writing output... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck writing output... [ 2%] generated/evalml.data_checks.OutliersDataCheck writing output... [ 2%] generated/evalml.demos.load_breast_cancer writing output... [ 2%] generated/evalml.demos.load_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_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... [ 6%] generated/evalml.objectives.AccuracyBinary writing output... [ 6%] generated/evalml.objectives.AccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary writing output... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass writing output... [ 6%] generated/evalml.objectives.BinaryClassificationObjective writing output... [ 6%] generated/evalml.objectives.CostBenefitMatrix writing output... [ 6%] generated/evalml.objectives.ExpVariance writing output... [ 6%] generated/evalml.objectives.F1 writing output... [ 7%] generated/evalml.objectives.F1Macro writing output... [ 7%] generated/evalml.objectives.F1Micro writing output... [ 7%] generated/evalml.objectives.F1Weighted writing output... [ 7%] generated/evalml.objectives.FraudCost writing output... [ 7%] generated/evalml.objectives.LeadScoring writing output... [ 7%] generated/evalml.objectives.LogLossBinary writing output... [ 7%] generated/evalml.objectives.LogLossMulticlass writing output... [ 7%] generated/evalml.objectives.MAE writing output... [ 8%] generated/evalml.objectives.MCCBinary writing output... [ 8%] generated/evalml.objectives.MCCMulticlass writing output... [ 8%] generated/evalml.objectives.MSE writing output... [ 8%] generated/evalml.objectives.MaxError writing output... [ 8%] generated/evalml.objectives.MeanSquaredLogError writing output... [ 8%] generated/evalml.objectives.MedianAE writing output... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective writing output... [ 8%] generated/evalml.objectives.ObjectiveBase writing output... [ 9%] generated/evalml.objectives.Precision writing output... [ 9%] generated/evalml.objectives.PrecisionMacro writing output... [ 9%] generated/evalml.objectives.PrecisionMicro writing output... [ 9%] generated/evalml.objectives.PrecisionWeighted writing output... [ 9%] generated/evalml.objectives.R2 writing output... [ 9%] generated/evalml.objectives.Recall writing output... [ 9%] generated/evalml.objectives.RecallMacro writing output... [ 9%] generated/evalml.objectives.RecallMicro writing output... [ 10%] generated/evalml.objectives.RecallWeighted writing output... [ 10%] generated/evalml.objectives.RegressionObjective writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredError writing output... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError writing output... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline writing output... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline writing output... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.ClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline writing output... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline writing output... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline writing output... [ 11%] generated/evalml.pipelines.PipelineBase writing output... [ 11%] generated/evalml.pipelines.RegressionPipeline writing output... [ 12%] generated/evalml.pipelines.components.BaselineClassifier writing output... [ 12%] generated/evalml.pipelines.components.BaselineRegressor writing output... [ 12%] generated/evalml.pipelines.components.CatBoostClassifier writing output... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor writing output... [ 12%] generated/evalml.pipelines.components.ComponentBase writing output... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer writing output... [ 12%] generated/evalml.pipelines.components.DropColumns writing output... [ 12%] generated/evalml.pipelines.components.DropNullColumns writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier writing output... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor writing output... [ 13%] generated/evalml.pipelines.components.Estimator writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier writing output... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor writing output... [ 13%] generated/evalml.pipelines.components.Imputer writing output... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier writing output... [ 13%] generated/evalml.pipelines.components.LinearRegressor writing output... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier writing output... [ 14%] generated/evalml.pipelines.components.OneHotEncoder writing output... [ 14%] generated/evalml.pipelines.components.PerColumnImputer writing output... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel writing output... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier writing output... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor writing output... [ 14%] generated/evalml.pipelines.components.SelectColumns writing output... [ 15%] generated/evalml.pipelines.components.SimpleImputer writing output... [ 15%] generated/evalml.pipelines.components.StandardScaler writing output... [ 15%] generated/evalml.pipelines.components.TextFeaturizer writing output... [ 15%] generated/evalml.pipelines.components.Transformer writing output... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier writing output... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor writing output... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families writing output... [ 15%] generated/evalml.pipelines.components.utils.get_estimators writing output... [ 16%] generated/evalml.pipelines.utils.make_pipeline writing output... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows writing output... [ 16%] generated/evalml.preprocessing.load_data writing output... [ 16%] generated/evalml.preprocessing.number_of_features writing output... [ 16%] generated/evalml.preprocessing.split_data writing output... [ 16%] generated/evalml.preprocessing.target_distribution writing output... [ 16%] generated/evalml.problem_types.ProblemTypes writing output... [ 17%] generated/evalml.problem_types.detect_problem_type writing output... [ 17%] generated/evalml.problem_types.handle_problem_types writing output... [ 17%] generated/evalml.tuners.GridSearchTuner writing output... [ 17%] generated/evalml.tuners.RandomSearchTuner writing output... [ 17%] generated/evalml.tuners.SKOptTuner writing output... [ 17%] generated/evalml.tuners.Tuner writing output... [ 17%] generated/evalml.utils.convert_to_seconds writing output... [ 17%] generated/evalml.utils.get_random_seed writing output... [ 18%] generated/evalml.utils.get_random_state writing output... [ 18%] generated/evalml.utils.import_or_raise writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load writing output... [ 18%] generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save writing output... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ writing output... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result writing output... [ 19%] 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... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ writing output... [ 20%] 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... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ writing output... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ writing output... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate writing output... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ writing output... [ 23%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.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.objectives.AUC.calculate_percent_difference writing output... [ 23%] generated/methods/evalml.objectives.AUC.decision_function writing output... [ 23%] generated/methods/evalml.objectives.AUC.objective_function writing output... [ 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... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score writing output... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function writing output... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.score writing output... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold writing output... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score writing output... [ 30%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.score writing output... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs writing output... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference writing output... [ 30%] generated/methods/evalml.objectives.F1.decision_function writing output... [ 30%] generated/methods/evalml.objectives.F1.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1.optimize_threshold writing output... [ 31%] generated/methods/evalml.objectives.F1.score writing output... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.score writing output... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs writing output... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.score writing output... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.score writing output... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs writing output... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.score writing output... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs writing output... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.score writing output... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference writing output... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score writing output... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MAE.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MAE.score writing output... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function writing output... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.score writing output... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score writing output... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs writing output... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference writing output... [ 37%] generated/methods/evalml.objectives.MSE.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MSE.score writing output... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference writing output... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function writing output... [ 38%] generated/methods/evalml.objectives.MaxError.score writing output... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs writing output... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score writing output... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.score writing output... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs writing output... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score writing output... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score writing output... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs writing output... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.Precision.decision_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.objective_function writing output... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold writing output... [ 41%] generated/methods/evalml.objectives.Precision.score writing output... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function writing output... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score writing output... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function writing output... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score writing output... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.R2.objective_function writing output... [ 43%] generated/methods/evalml.objectives.R2.score writing output... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs writing output... [ 43%] generated/methods/evalml.objectives.Recall.calculate_percent_difference writing output... [ 43%] generated/methods/evalml.objectives.Recall.decision_function writing output... [ 43%] generated/methods/evalml.objectives.Recall.objective_function writing output... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold writing output... [ 44%] generated/methods/evalml.objectives.Recall.score writing output... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.score writing output... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.score writing output... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.objective_function writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.score writing output... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score writing output... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score writing output... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score writing output... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features writing output... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba writing output... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save writing output... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit writing output... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save writing output... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score writing output... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance writing output... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save writing output... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe writing output... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save writing output... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph writing output... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save writing output... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ writing output... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load writing output... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save writing output... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit writing output... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score writing output... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance writing output... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save writing output... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features writing output... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict writing output... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save writing output... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit writing output... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save writing output... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ writing output... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load writing output... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict writing output... [ 65%] generated/methods/evalml.pipelines.RegressionPipeline.save writing output... [ 65%] generated/methods/evalml.pipelines.RegressionPipeline.score writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load writing output... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.save writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit writing output... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba writing output... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.save writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit writing output... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit writing output... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba writing output... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.clone writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit writing output... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load writing output... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load writing output... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save writing output... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.__init__ writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.clone writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.describe writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.load writing output... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.save writing output... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.transform writing output... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ writing output... [ 72%] 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... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save writing output... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load writing output... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load writing output... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba writing output... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.clone writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load writing output... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba writing output... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load writing output... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit writing output... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba writing output... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit writing output... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save writing output... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit writing output... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba writing output... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit writing output... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba writing output... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit writing output... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba writing output... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe writing output... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save writing output... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ writing output... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save writing output... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ writing output... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save writing output... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform writing output... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save writing output... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba writing output... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict writing output... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba writing output... [ 89%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.clone writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.describe writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.load writing output... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save writing output... [ 90%] generated/methods/evalml.pipelines.components.SelectColumns.transform writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load writing output... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save writing output... [ 91%] generated/methods/evalml.pipelines.components.SimpleImputer.transform writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform writing output... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.load writing output... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.load writing output... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.save writing output... [ 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... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit_transform writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.load writing output... [ 93%] generated/methods/evalml.pipelines.components.Transformer.save writing output... [ 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... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load writing output... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load writing output... [ 95%] 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... [ 96%] 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... [ 97%] generated/methods/evalml.tuners.Tuner.add writing output... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted writing output... [ 98%] generated/methods/evalml.tuners.Tuner.propose writing output... [ 98%] index writing output... [ 98%] install writing output... [ 98%] release_notes writing output... [ 98%] start writing output... [ 98%] tutorials writing output... [ 98%] user_guide writing output... [ 99%] user_guide/automl writing output... [ 99%] user_guide/components writing output... [ 99%] user_guide/data_checks writing output... [ 99%] user_guide/faq writing output... [ 99%] user_guide/model_understanding writing output... [ 99%] user_guide/objectives writing output... [ 99%] user_guide/pipelines writing output... [100%] user_guide/utilities generating indices... genindex highlighting module code... [ 1%] evalml.automl.automl_algorithm.automl_algorithm highlighting module code... [ 2%] evalml.automl.automl_algorithm.iterative_algorithm highlighting module code... [ 3%] evalml.automl.automl_search highlighting module code... [ 5%] evalml.data_checks.class_imbalance_data_check highlighting module code... [ 6%] evalml.data_checks.data_check highlighting module code... [ 7%] evalml.data_checks.data_check_message highlighting module code... [ 8%] 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.label_leakage_data_check highlighting module code... [ 17%] evalml.data_checks.no_variance_data_check highlighting module code... [ 18%] evalml.data_checks.outliers_data_check highlighting module code... [ 20%] evalml.demos.breast_cancer highlighting module code... [ 21%] evalml.demos.churn highlighting module code... [ 22%] evalml.demos.diabetes highlighting module code... [ 23%] evalml.demos.fraud highlighting module code... [ 25%] evalml.demos.wine highlighting module code... [ 26%] evalml.model_family.model_family highlighting module code... [ 27%] evalml.model_family.utils highlighting module code... [ 28%] evalml.model_understanding.graphs highlighting module code... [ 30%] evalml.model_understanding.prediction_explanations.explainers highlighting module code... [ 31%] evalml.objectives.binary_classification_objective highlighting module code... [ 32%] evalml.objectives.cost_benefit_matrix highlighting module code... [ 33%] evalml.objectives.fraud_cost highlighting module code... [ 35%] evalml.objectives.lead_scoring highlighting module code... [ 36%] evalml.objectives.multiclass_classification_objective highlighting module code... [ 37%] evalml.objectives.objective_base highlighting module code... [ 38%] evalml.objectives.regression_objective highlighting module code... [ 40%] evalml.objectives.standard_metrics highlighting module code... [ 41%] evalml.pipelines.binary_classification_pipeline highlighting module code... [ 42%] evalml.pipelines.classification.baseline_binary highlighting module code... [ 43%] evalml.pipelines.classification.baseline_multiclass highlighting module code... [ 45%] evalml.pipelines.classification_pipeline highlighting module code... [ 46%] evalml.pipelines.components.component_base highlighting module code... [ 47%] evalml.pipelines.components.estimators.classifiers.baseline_classifier highlighting module code... [ 48%] evalml.pipelines.components.estimators.classifiers.catboost_classifier highlighting module code... [ 50%] evalml.pipelines.components.estimators.classifiers.elasticnet_classifier highlighting module code... [ 51%] evalml.pipelines.components.estimators.classifiers.et_classifier highlighting module code... [ 52%] evalml.pipelines.components.estimators.classifiers.lightgbm_classifier highlighting module code... [ 53%] evalml.pipelines.components.estimators.classifiers.logistic_regression highlighting module code... [ 55%] evalml.pipelines.components.estimators.classifiers.rf_classifier highlighting module code... [ 56%] evalml.pipelines.components.estimators.classifiers.xgboost_classifier highlighting module code... [ 57%] evalml.pipelines.components.estimators.estimator highlighting module code... [ 58%] evalml.pipelines.components.estimators.regressors.baseline_regressor highlighting module code... [ 60%] evalml.pipelines.components.estimators.regressors.catboost_regressor highlighting module code... [ 61%] evalml.pipelines.components.estimators.regressors.elasticnet_regressor highlighting module code... [ 62%] evalml.pipelines.components.estimators.regressors.et_regressor highlighting module code... [ 63%] evalml.pipelines.components.estimators.regressors.linear_regressor highlighting module code... [ 65%] evalml.pipelines.components.estimators.regressors.rf_regressor highlighting module code... [ 66%] evalml.pipelines.components.estimators.regressors.xgboost_regressor highlighting module code... [ 67%] evalml.pipelines.components.transformers.column_selectors highlighting module code... [ 68%] evalml.pipelines.components.transformers.encoders.onehot_encoder highlighting module code... [ 70%] evalml.pipelines.components.transformers.feature_selection.feature_selector highlighting module code... [ 71%] evalml.pipelines.components.transformers.feature_selection.rf_classifier_feature_selector highlighting module code... [ 72%] evalml.pipelines.components.transformers.feature_selection.rf_regressor_feature_selector highlighting module code... [ 73%] evalml.pipelines.components.transformers.imputers.imputer highlighting module code... [ 75%] evalml.pipelines.components.transformers.imputers.per_column_imputer highlighting module code... [ 76%] evalml.pipelines.components.transformers.imputers.simple_imputer highlighting module code... [ 77%] evalml.pipelines.components.transformers.preprocessing.datetime_featurizer highlighting module code... [ 78%] evalml.pipelines.components.transformers.preprocessing.drop_null_columns highlighting module code... [ 80%] evalml.pipelines.components.transformers.preprocessing.text_featurizer highlighting module code... [ 81%] evalml.pipelines.components.transformers.scalers.standard_scaler highlighting module code... [ 82%] evalml.pipelines.components.transformers.transformer highlighting module code... [ 83%] evalml.pipelines.components.utils highlighting module code... [ 85%] evalml.pipelines.multiclass_classification_pipeline highlighting module code... [ 86%] evalml.pipelines.pipeline_base highlighting module code... [ 87%] evalml.pipelines.regression.baseline_regression highlighting module code... [ 88%] evalml.pipelines.regression_pipeline highlighting module code... [ 90%] evalml.pipelines.utils highlighting module code... [ 91%] evalml.preprocessing.utils highlighting module code... [ 92%] evalml.problem_types.problem_types highlighting module code... [ 93%] evalml.problem_types.utils highlighting module code... [ 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: 2020-09-29T16:48:50.235840Z, end-time: 2020-09-29T16:55:13.314739Z, duration: 383, 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: 782 added, 0 changed, 0 removed reading sources... [ 0%] api_reference reading sources... [ 0%] demos/cost_benefit_matrix reading sources... [ 0%] demos/fraud reading sources... [ 0%] demos/lead_scoring reading sources... [ 0%] generated/evalml.automl.AutoMLSearch reading sources... [ 0%] generated/evalml.automl.automl_algorithm.AutoMLAlgorithm reading sources... [ 0%] generated/evalml.automl.automl_algorithm.IterativeAlgorithm reading sources... [ 1%] generated/evalml.data_checks.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.LabelLeakageDataCheck reading sources... [ 2%] generated/evalml.data_checks.NoVarianceDataCheck reading sources... [ 2%] generated/evalml.data_checks.OutliersDataCheck reading sources... [ 2%] generated/evalml.demos.load_breast_cancer reading sources... [ 2%] generated/evalml.demos.load_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_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... [ 6%] generated/evalml.objectives.AccuracyBinary reading sources... [ 6%] generated/evalml.objectives.AccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyBinary reading sources... [ 6%] generated/evalml.objectives.BalancedAccuracyMulticlass reading sources... [ 6%] generated/evalml.objectives.BinaryClassificationObjective reading sources... [ 6%] generated/evalml.objectives.CostBenefitMatrix reading sources... [ 6%] generated/evalml.objectives.ExpVariance reading sources... [ 6%] generated/evalml.objectives.F1 reading sources... [ 7%] generated/evalml.objectives.F1Macro reading sources... [ 7%] generated/evalml.objectives.F1Micro reading sources... [ 7%] generated/evalml.objectives.F1Weighted reading sources... [ 7%] generated/evalml.objectives.FraudCost reading sources... [ 7%] generated/evalml.objectives.LeadScoring reading sources... [ 7%] generated/evalml.objectives.LogLossBinary reading sources... [ 7%] generated/evalml.objectives.LogLossMulticlass reading sources... [ 7%] generated/evalml.objectives.MAE reading sources... [ 8%] generated/evalml.objectives.MCCBinary reading sources... [ 8%] generated/evalml.objectives.MCCMulticlass reading sources... [ 8%] generated/evalml.objectives.MSE reading sources... [ 8%] generated/evalml.objectives.MaxError reading sources... [ 8%] generated/evalml.objectives.MeanSquaredLogError reading sources... [ 8%] generated/evalml.objectives.MedianAE reading sources... [ 8%] generated/evalml.objectives.MulticlassClassificationObjective reading sources... [ 8%] generated/evalml.objectives.ObjectiveBase reading sources... [ 9%] generated/evalml.objectives.Precision reading sources... [ 9%] generated/evalml.objectives.PrecisionMacro reading sources... [ 9%] generated/evalml.objectives.PrecisionMicro reading sources... [ 9%] generated/evalml.objectives.PrecisionWeighted reading sources... [ 9%] generated/evalml.objectives.R2 reading sources... [ 9%] generated/evalml.objectives.Recall reading sources... [ 9%] generated/evalml.objectives.RecallMacro reading sources... [ 9%] generated/evalml.objectives.RecallMicro reading sources... [ 10%] generated/evalml.objectives.RecallWeighted reading sources... [ 10%] generated/evalml.objectives.RegressionObjective reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredError reading sources... [ 10%] generated/evalml.objectives.RootMeanSquaredLogError reading sources... [ 10%] generated/evalml.pipelines.BaselineBinaryPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineMulticlassPipeline reading sources... [ 10%] generated/evalml.pipelines.BaselineRegressionPipeline reading sources... [ 10%] generated/evalml.pipelines.BinaryClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.ClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.MeanBaselineRegressionPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineBinaryPipeline reading sources... [ 11%] generated/evalml.pipelines.ModeBaselineMulticlassPipeline reading sources... [ 11%] generated/evalml.pipelines.MulticlassClassificationPipeline reading sources... [ 11%] generated/evalml.pipelines.PipelineBase reading sources... [ 11%] generated/evalml.pipelines.RegressionPipeline reading sources... [ 12%] generated/evalml.pipelines.components.BaselineClassifier reading sources... [ 12%] generated/evalml.pipelines.components.BaselineRegressor reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostClassifier reading sources... [ 12%] generated/evalml.pipelines.components.CatBoostRegressor reading sources... [ 12%] generated/evalml.pipelines.components.ComponentBase reading sources... [ 12%] generated/evalml.pipelines.components.DateTimeFeaturizer reading sources... [ 12%] generated/evalml.pipelines.components.DropColumns reading sources... [ 12%] generated/evalml.pipelines.components.DropNullColumns reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ElasticNetRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Estimator reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesClassifier reading sources... [ 13%] generated/evalml.pipelines.components.ExtraTreesRegressor reading sources... [ 13%] generated/evalml.pipelines.components.Imputer reading sources... [ 13%] generated/evalml.pipelines.components.LightGBMClassifier reading sources... [ 13%] generated/evalml.pipelines.components.LinearRegressor reading sources... [ 14%] generated/evalml.pipelines.components.LogisticRegressionClassifier reading sources... [ 14%] generated/evalml.pipelines.components.OneHotEncoder reading sources... [ 14%] generated/evalml.pipelines.components.PerColumnImputer reading sources... [ 14%] generated/evalml.pipelines.components.RFClassifierSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RFRegressorSelectFromModel reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestClassifier reading sources... [ 14%] generated/evalml.pipelines.components.RandomForestRegressor reading sources... [ 14%] generated/evalml.pipelines.components.SelectColumns reading sources... [ 15%] generated/evalml.pipelines.components.SimpleImputer reading sources... [ 15%] generated/evalml.pipelines.components.StandardScaler reading sources... [ 15%] generated/evalml.pipelines.components.TextFeaturizer reading sources... [ 15%] generated/evalml.pipelines.components.Transformer reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostClassifier reading sources... [ 15%] generated/evalml.pipelines.components.XGBoostRegressor reading sources... [ 15%] generated/evalml.pipelines.components.utils.allowed_model_families reading sources... [ 15%] generated/evalml.pipelines.components.utils.get_estimators reading sources... [ 16%] generated/evalml.pipelines.utils.make_pipeline reading sources... [ 16%] generated/evalml.preprocessing.drop_nan_target_rows reading sources... [ 16%] generated/evalml.preprocessing.load_data reading sources... [ 16%] generated/evalml.preprocessing.number_of_features reading sources... [ 16%] generated/evalml.preprocessing.split_data reading sources... [ 16%] generated/evalml.preprocessing.target_distribution reading sources... [ 16%] generated/evalml.problem_types.ProblemTypes reading sources... [ 17%] generated/evalml.problem_types.detect_problem_type reading sources... [ 17%] generated/evalml.problem_types.handle_problem_types reading sources... [ 17%] generated/evalml.tuners.GridSearchTuner reading sources... [ 17%] generated/evalml.tuners.RandomSearchTuner reading sources... [ 17%] generated/evalml.tuners.SKOptTuner reading sources... [ 17%] generated/evalml.tuners.Tuner reading sources... [ 17%] generated/evalml.utils.convert_to_seconds reading sources... [ 17%] generated/evalml.utils.get_random_seed reading sources... [ 18%] generated/evalml.utils.get_random_state reading sources... [ 18%] generated/evalml.utils.import_or_raise reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.__init__ reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.add_to_rankings reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.describe_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.get_pipeline reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.load reading sources... [ 18%] generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.save reading sources... [ 19%] generated/methods/evalml.automl.AutoMLSearch.search reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ reading sources... [ 19%] generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result reading sources... [ 19%] 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... [ 20%] generated/methods/evalml.data_checks.DataCheckMessage.__eq__ reading sources... [ 20%] 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... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.__init__ reading sources... [ 21%] generated/methods/evalml.data_checks.DefaultDataChecks.validate reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.HighlyNullDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.IDColumnsDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.__init__ reading sources... [ 22%] generated/methods/evalml.data_checks.InvalidTargetDataCheck.validate reading sources... [ 22%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ reading sources... [ 23%] generated/methods/evalml.data_checks.LabelLeakageDataCheck.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.objectives.AUC.calculate_percent_difference reading sources... [ 23%] generated/methods/evalml.objectives.AUC.decision_function reading sources... [ 23%] generated/methods/evalml.objectives.AUC.objective_function reading sources... [ 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... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score reading sources... [ 28%] generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function reading sources... [ 28%] generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.score reading sources... [ 29%] generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.__init__ reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.decision_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.objective_function reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold reading sources... [ 29%] generated/methods/evalml.objectives.CostBenefitMatrix.score reading sources... [ 30%] generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.objective_function reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.score reading sources... [ 30%] generated/methods/evalml.objectives.ExpVariance.validate_inputs reading sources... [ 30%] generated/methods/evalml.objectives.F1.calculate_percent_difference reading sources... [ 30%] generated/methods/evalml.objectives.F1.decision_function reading sources... [ 30%] generated/methods/evalml.objectives.F1.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1.optimize_threshold reading sources... [ 31%] generated/methods/evalml.objectives.F1.score reading sources... [ 31%] generated/methods/evalml.objectives.F1.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.calculate_percent_difference reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.objective_function reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.score reading sources... [ 31%] generated/methods/evalml.objectives.F1Macro.validate_inputs reading sources... [ 31%] generated/methods/evalml.objectives.F1Micro.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Micro.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.objective_function reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.score reading sources... [ 32%] generated/methods/evalml.objectives.F1Weighted.validate_inputs reading sources... [ 32%] generated/methods/evalml.objectives.FraudCost.__init__ reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.calculate_percent_difference reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.decision_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.objective_function reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.optimize_threshold reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.score reading sources... [ 33%] generated/methods/evalml.objectives.FraudCost.validate_inputs reading sources... [ 33%] generated/methods/evalml.objectives.LeadScoring.__init__ reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.decision_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.objective_function reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.optimize_threshold reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.score reading sources... [ 34%] generated/methods/evalml.objectives.LeadScoring.validate_inputs reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference reading sources... [ 34%] generated/methods/evalml.objectives.LogLossBinary.decision_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.optimize_threshold reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossBinary.validate_inputs reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.objective_function reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.score reading sources... [ 35%] generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MAE.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MAE.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MAE.score reading sources... [ 36%] generated/methods/evalml.objectives.MAE.validate_inputs reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.decision_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.objective_function reading sources... [ 36%] generated/methods/evalml.objectives.MCCBinary.optimize_threshold reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCBinary.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.objective_function reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.score reading sources... [ 37%] generated/methods/evalml.objectives.MCCMulticlass.validate_inputs reading sources... [ 37%] generated/methods/evalml.objectives.MSE.calculate_percent_difference reading sources... [ 37%] generated/methods/evalml.objectives.MSE.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MSE.score reading sources... [ 38%] generated/methods/evalml.objectives.MSE.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.calculate_percent_difference reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.objective_function reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.score reading sources... [ 38%] generated/methods/evalml.objectives.MaxError.validate_inputs reading sources... [ 38%] generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.score reading sources... [ 39%] generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.calculate_percent_difference reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.objective_function reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.score reading sources... [ 39%] generated/methods/evalml.objectives.MedianAE.validate_inputs reading sources... [ 39%] generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.score reading sources... [ 40%] generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.objective_function reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.score reading sources... [ 40%] generated/methods/evalml.objectives.ObjectiveBase.validate_inputs reading sources... [ 40%] generated/methods/evalml.objectives.Precision.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.Precision.decision_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.Precision.optimize_threshold reading sources... [ 41%] generated/methods/evalml.objectives.Precision.score reading sources... [ 41%] generated/methods/evalml.objectives.Precision.validate_inputs reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.objective_function reading sources... [ 41%] generated/methods/evalml.objectives.PrecisionMacro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMacro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.score reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionMicro.validate_inputs reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.objective_function reading sources... [ 42%] generated/methods/evalml.objectives.PrecisionWeighted.score reading sources... [ 43%] generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.R2.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.R2.objective_function reading sources... [ 43%] generated/methods/evalml.objectives.R2.score reading sources... [ 43%] generated/methods/evalml.objectives.R2.validate_inputs reading sources... [ 43%] generated/methods/evalml.objectives.Recall.calculate_percent_difference reading sources... [ 43%] generated/methods/evalml.objectives.Recall.decision_function reading sources... [ 43%] generated/methods/evalml.objectives.Recall.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.Recall.optimize_threshold reading sources... [ 44%] generated/methods/evalml.objectives.Recall.score reading sources... [ 44%] generated/methods/evalml.objectives.Recall.validate_inputs reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.objective_function reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.score reading sources... [ 44%] generated/methods/evalml.objectives.RecallMacro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallMicro.validate_inputs reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.objective_function reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.score reading sources... [ 45%] generated/methods/evalml.objectives.RecallWeighted.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.score reading sources... [ 46%] generated/methods/evalml.objectives.RegressionObjective.validate_inputs reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.objective_function reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.score reading sources... [ 46%] generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.score reading sources... [ 47%] generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.__init__ reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.clone reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.compute_estimator_features reading sources... [ 47%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.describe reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.fit reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.get_component reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.graph_feature_importance reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.load reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.predict_proba reading sources... [ 48%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.save reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineBinaryPipeline.score reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.__init__ reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.clone reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.compute_estimator_features reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.describe reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.fit reading sources... [ 49%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.get_component reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.graph_feature_importance reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.load reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.predict_proba reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.save reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineMulticlassPipeline.score reading sources... [ 50%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.__init__ reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.clone reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.compute_estimator_features reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.describe reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.fit reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.get_component reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.graph_feature_importance reading sources... [ 51%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.load reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.predict reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.save reading sources... [ 52%] generated/methods/evalml.pipelines.BaselineRegressionPipeline.score reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.__init__ reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.clone reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.compute_estimator_features reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.describe reading sources... [ 52%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.fit reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.get_component reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.graph_feature_importance reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.load reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.predict_proba reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.save reading sources... [ 53%] generated/methods/evalml.pipelines.BinaryClassificationPipeline.score reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.__init__ reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.clone reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.compute_estimator_features reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.describe reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.fit reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.get_component reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph reading sources... [ 54%] generated/methods/evalml.pipelines.ClassificationPipeline.graph_feature_importance reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.load reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.predict_proba reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.save reading sources... [ 55%] generated/methods/evalml.pipelines.ClassificationPipeline.score reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.__init__ reading sources... [ 55%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.clone reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.compute_estimator_features reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.describe reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.fit reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.get_component reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.graph_feature_importance reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.load reading sources... [ 56%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.predict reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.save reading sources... [ 57%] generated/methods/evalml.pipelines.MeanBaselineRegressionPipeline.score reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.__init__ reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.clone reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.compute_estimator_features reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.describe reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.fit reading sources... [ 57%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.get_component reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.graph_feature_importance reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.load reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.predict_proba reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.save reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineBinaryPipeline.score reading sources... [ 58%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.__init__ reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.clone reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.compute_estimator_features reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.describe reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.fit reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.get_component reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.graph_feature_importance reading sources... [ 59%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.load reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.predict_proba reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.save reading sources... [ 60%] generated/methods/evalml.pipelines.ModeBaselineMulticlassPipeline.score reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.__init__ reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.clone reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.compute_estimator_features reading sources... [ 60%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.describe reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.fit reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.get_component reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.graph_feature_importance reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.load reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict reading sources... [ 61%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.predict_proba reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.save reading sources... [ 62%] generated/methods/evalml.pipelines.MulticlassClassificationPipeline.score reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.__init__ reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.clone reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.compute_estimator_features reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.describe reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.fit reading sources... [ 62%] generated/methods/evalml.pipelines.PipelineBase.get_component reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.graph_feature_importance reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.load reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.predict reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.save reading sources... [ 63%] generated/methods/evalml.pipelines.PipelineBase.score reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.__init__ reading sources... [ 63%] generated/methods/evalml.pipelines.RegressionPipeline.clone reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.compute_estimator_features reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.describe reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.fit reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.get_component reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.graph_feature_importance reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.load reading sources... [ 64%] generated/methods/evalml.pipelines.RegressionPipeline.predict reading sources... [ 65%] generated/methods/evalml.pipelines.RegressionPipeline.save reading sources... [ 65%] generated/methods/evalml.pipelines.RegressionPipeline.score reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.__init__ reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.clone reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.describe reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.fit reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.load reading sources... [ 65%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.predict_proba reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineClassifier.save reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.clone reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.describe reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.fit reading sources... [ 66%] generated/methods/evalml.pipelines.components.BaselineRegressor.load reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba reading sources... [ 67%] generated/methods/evalml.pipelines.components.BaselineRegressor.save reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.__init__ reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.clone reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.describe reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.fit reading sources... [ 67%] generated/methods/evalml.pipelines.components.CatBoostClassifier.load reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.predict_proba reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostClassifier.save reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.clone reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.describe reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.fit reading sources... [ 68%] generated/methods/evalml.pipelines.components.CatBoostRegressor.load reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba reading sources... [ 69%] generated/methods/evalml.pipelines.components.CatBoostRegressor.save reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.__init__ reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.clone reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.describe reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.fit reading sources... [ 69%] generated/methods/evalml.pipelines.components.ComponentBase.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.ComponentBase.save reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.__init__ reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.clone reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.describe reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.fit_transform reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.load reading sources... [ 70%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.save reading sources... [ 71%] generated/methods/evalml.pipelines.components.DateTimeFeaturizer.transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.__init__ reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.clone reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.describe reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.fit_transform reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.load reading sources... [ 71%] generated/methods/evalml.pipelines.components.DropColumns.save reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropColumns.transform reading sources... [ 72%] generated/methods/evalml.pipelines.components.DropNullColumns.__init__ reading sources... [ 72%] 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... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.save reading sources... [ 73%] generated/methods/evalml.pipelines.components.DropNullColumns.transform reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.__init__ reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.clone reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.describe reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.fit reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.load reading sources... [ 73%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.predict_proba reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetClassifier.save reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.load reading sources... [ 74%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba reading sources... [ 75%] generated/methods/evalml.pipelines.components.ElasticNetRegressor.save reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.__init__ reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.clone reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.describe reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.fit reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.load reading sources... [ 75%] generated/methods/evalml.pipelines.components.Estimator.predict reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.predict_proba reading sources... [ 76%] generated/methods/evalml.pipelines.components.Estimator.save reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.__init__ reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.clone reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.describe reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.fit reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.load reading sources... [ 76%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.predict_proba reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesClassifier.save reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit reading sources... [ 77%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba reading sources... [ 78%] generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.__init__ reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.clone reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.describe reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit reading sources... [ 78%] generated/methods/evalml.pipelines.components.Imputer.fit_transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.load reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.save reading sources... [ 79%] generated/methods/evalml.pipelines.components.Imputer.transform reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.__init__ reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.clone reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.describe reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.fit reading sources... [ 79%] generated/methods/evalml.pipelines.components.LightGBMClassifier.load reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.predict_proba reading sources... [ 80%] generated/methods/evalml.pipelines.components.LightGBMClassifier.save reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.__init__ reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.clone reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.describe reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.fit reading sources... [ 80%] generated/methods/evalml.pipelines.components.LinearRegressor.load reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba reading sources... [ 81%] generated/methods/evalml.pipelines.components.LinearRegressor.save reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.__init__ reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.clone reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.describe reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.fit reading sources... [ 81%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.load reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.predict_proba reading sources... [ 82%] generated/methods/evalml.pipelines.components.LogisticRegressionClassifier.save reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.__init__ reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.categories reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.clone reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.describe reading sources... [ 82%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.fit_transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.get_feature_names reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.load reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.save reading sources... [ 83%] generated/methods/evalml.pipelines.components.OneHotEncoder.transform reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.__init__ reading sources... [ 83%] generated/methods/evalml.pipelines.components.PerColumnImputer.clone reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.describe reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.fit_transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.load reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.save reading sources... [ 84%] generated/methods/evalml.pipelines.components.PerColumnImputer.transform reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.__init__ reading sources... [ 84%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.clone reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.describe reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.fit_transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.get_names reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.load reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.save reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFClassifierSelectFromModel.transform reading sources... [ 85%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.__init__ reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.clone reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.describe reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.fit_transform reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.get_names reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.load reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.save reading sources... [ 86%] generated/methods/evalml.pipelines.components.RFRegressorSelectFromModel.transform reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.__init__ reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.clone reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.describe reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.fit reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.load reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.predict_proba reading sources... [ 87%] generated/methods/evalml.pipelines.components.RandomForestClassifier.save reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.clone reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.describe reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.fit reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.load reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict reading sources... [ 88%] generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba reading sources... [ 89%] generated/methods/evalml.pipelines.components.RandomForestRegressor.save reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.__init__ reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.clone reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.describe reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.fit_transform reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.load reading sources... [ 89%] generated/methods/evalml.pipelines.components.SelectColumns.save reading sources... [ 90%] generated/methods/evalml.pipelines.components.SelectColumns.transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.__init__ reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.clone reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.describe reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.fit_transform reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.load reading sources... [ 90%] generated/methods/evalml.pipelines.components.SimpleImputer.save reading sources... [ 91%] generated/methods/evalml.pipelines.components.SimpleImputer.transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.__init__ reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.clone reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.describe reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.fit_transform reading sources... [ 91%] generated/methods/evalml.pipelines.components.StandardScaler.load reading sources... [ 91%] 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... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.fit_transform reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.load reading sources... [ 92%] generated/methods/evalml.pipelines.components.TextFeaturizer.save reading sources... [ 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... [ 93%] generated/methods/evalml.pipelines.components.Transformer.fit_transform reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.load reading sources... [ 93%] generated/methods/evalml.pipelines.components.Transformer.save reading sources... [ 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... [ 94%] generated/methods/evalml.pipelines.components.XGBoostClassifier.load reading sources... [ 94%] 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... [ 95%] generated/methods/evalml.pipelines.components.XGBoostRegressor.load reading sources... [ 95%] 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... [ 96%] 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... [ 97%] generated/methods/evalml.tuners.Tuner.add reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.is_search_space_exhausted reading sources... [ 98%] generated/methods/evalml.tuners.Tuner.propose reading sources... [ 98%] index reading sources... [ 98%] install reading sources... [ 98%] release_notes reading sources... [ 98%] start reading sources... [ 98%] tutorials reading sources... [ 98%] user_guide reading sources... [ 99%] user_guide/automl reading sources... [ 99%] user_guide/components reading sources... [ 99%] user_guide/data_checks reading sources... [ 99%] user_guide/faq reading sources... [ 99%] user_guide/model_understanding reading sources... [ 99%] user_guide/objectives reading sources... [ 99%] user_guide/pipelines reading sources... [100%] user_guide/utilities looking for now-outdated files... none found pickling environment... done checking consistency... done processing EvalML.tex... index install start tutorials demos/fraud demos/lead_scoring demos/cost_benefit_matrix user_guide user_guide/automl user_guide/objectives user_guide/components user_guide/pipelines user_guide/model_understanding user_guide/data_checks user_guide/utilities user_guide/faq api_reference generated/evalml.demos.load_fraud generated/evalml.demos.load_wine generated/evalml.demos.load_breast_cancer generated/evalml.demos.load_diabetes generated/evalml.demos.load_churn generated/evalml.preprocessing.drop_nan_target_rows generated/evalml.preprocessing.target_distribution generated/evalml.preprocessing.load_data generated/evalml.preprocessing.number_of_features generated/evalml.preprocessing.split_data generated/evalml.automl.AutoMLSearch generated/methods/evalml.automl.AutoMLSearch.__init__ generated/methods/evalml.automl.AutoMLSearch.add_to_rankings generated/methods/evalml.automl.AutoMLSearch.describe_pipeline generated/methods/evalml.automl.AutoMLSearch.get_pipeline generated/methods/evalml.automl.AutoMLSearch.load generated/methods/evalml.automl.AutoMLSearch.print_objective_names_allowed_in_automl generated/methods/evalml.automl.AutoMLSearch.save generated/methods/evalml.automl.AutoMLSearch.search generated/evalml.automl.automl_algorithm.AutoMLAlgorithm generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.AutoMLAlgorithm.next_batch generated/evalml.automl.automl_algorithm.IterativeAlgorithm generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.__init__ generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.add_result generated/methods/evalml.automl.automl_algorithm.IterativeAlgorithm.next_batch generated/evalml.pipelines.PipelineBase generated/methods/evalml.pipelines.PipelineBase.__init__ generated/methods/evalml.pipelines.PipelineBase.clone generated/methods/evalml.pipelines.PipelineBase.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.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.CatBoostRegressor generated/methods/evalml.pipelines.components.CatBoostRegressor.__init__ generated/methods/evalml.pipelines.components.CatBoostRegressor.clone generated/methods/evalml.pipelines.components.CatBoostRegressor.describe generated/methods/evalml.pipelines.components.CatBoostRegressor.fit generated/methods/evalml.pipelines.components.CatBoostRegressor.load generated/methods/evalml.pipelines.components.CatBoostRegressor.predict generated/methods/evalml.pipelines.components.CatBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.CatBoostRegressor.save generated/evalml.pipelines.components.ElasticNetRegressor generated/methods/evalml.pipelines.components.ElasticNetRegressor.__init__ generated/methods/evalml.pipelines.components.ElasticNetRegressor.clone generated/methods/evalml.pipelines.components.ElasticNetRegressor.describe generated/methods/evalml.pipelines.components.ElasticNetRegressor.fit generated/methods/evalml.pipelines.components.ElasticNetRegressor.load generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict generated/methods/evalml.pipelines.components.ElasticNetRegressor.predict_proba generated/methods/evalml.pipelines.components.ElasticNetRegressor.save generated/evalml.pipelines.components.LinearRegressor generated/methods/evalml.pipelines.components.LinearRegressor.__init__ generated/methods/evalml.pipelines.components.LinearRegressor.clone generated/methods/evalml.pipelines.components.LinearRegressor.describe generated/methods/evalml.pipelines.components.LinearRegressor.fit generated/methods/evalml.pipelines.components.LinearRegressor.load generated/methods/evalml.pipelines.components.LinearRegressor.predict generated/methods/evalml.pipelines.components.LinearRegressor.predict_proba generated/methods/evalml.pipelines.components.LinearRegressor.save generated/evalml.pipelines.components.ExtraTreesRegressor generated/methods/evalml.pipelines.components.ExtraTreesRegressor.__init__ generated/methods/evalml.pipelines.components.ExtraTreesRegressor.clone generated/methods/evalml.pipelines.components.ExtraTreesRegressor.describe generated/methods/evalml.pipelines.components.ExtraTreesRegressor.fit generated/methods/evalml.pipelines.components.ExtraTreesRegressor.load generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict generated/methods/evalml.pipelines.components.ExtraTreesRegressor.predict_proba generated/methods/evalml.pipelines.components.ExtraTreesRegressor.save generated/evalml.pipelines.components.RandomForestRegressor generated/methods/evalml.pipelines.components.RandomForestRegressor.__init__ generated/methods/evalml.pipelines.components.RandomForestRegressor.clone generated/methods/evalml.pipelines.components.RandomForestRegressor.describe generated/methods/evalml.pipelines.components.RandomForestRegressor.fit generated/methods/evalml.pipelines.components.RandomForestRegressor.load generated/methods/evalml.pipelines.components.RandomForestRegressor.predict generated/methods/evalml.pipelines.components.RandomForestRegressor.predict_proba generated/methods/evalml.pipelines.components.RandomForestRegressor.save generated/evalml.pipelines.components.XGBoostRegressor generated/methods/evalml.pipelines.components.XGBoostRegressor.__init__ generated/methods/evalml.pipelines.components.XGBoostRegressor.clone generated/methods/evalml.pipelines.components.XGBoostRegressor.describe generated/methods/evalml.pipelines.components.XGBoostRegressor.fit generated/methods/evalml.pipelines.components.XGBoostRegressor.load generated/methods/evalml.pipelines.components.XGBoostRegressor.predict generated/methods/evalml.pipelines.components.XGBoostRegressor.predict_proba generated/methods/evalml.pipelines.components.XGBoostRegressor.save generated/evalml.pipelines.components.BaselineRegressor generated/methods/evalml.pipelines.components.BaselineRegressor.__init__ generated/methods/evalml.pipelines.components.BaselineRegressor.clone generated/methods/evalml.pipelines.components.BaselineRegressor.describe generated/methods/evalml.pipelines.components.BaselineRegressor.fit generated/methods/evalml.pipelines.components.BaselineRegressor.load generated/methods/evalml.pipelines.components.BaselineRegressor.predict generated/methods/evalml.pipelines.components.BaselineRegressor.predict_proba generated/methods/evalml.pipelines.components.BaselineRegressor.save generated/evalml.model_understanding.confusion_matrix generated/evalml.model_understanding.normalize_confusion_matrix generated/evalml.model_understanding.precision_recall_curve generated/evalml.model_understanding.graph_precision_recall_curve generated/evalml.model_understanding.roc_curve generated/evalml.model_understanding.graph_roc_curve generated/evalml.model_understanding.graph_confusion_matrix generated/evalml.model_understanding.calculate_permutation_importance generated/evalml.model_understanding.graph_permutation_importance generated/evalml.model_understanding.binary_objective_vs_threshold generated/evalml.model_understanding.graph_binary_objective_vs_threshold generated/evalml.model_understanding.prediction_explanations.explain_prediction generated/evalml.model_understanding.prediction_explanations.explain_predictions generated/evalml.model_understanding.prediction_explanations.explain_predictions_best_worst generated/evalml.objectives.ObjectiveBase generated/methods/evalml.objectives.ObjectiveBase.calculate_percent_difference generated/methods/evalml.objectives.ObjectiveBase.objective_function generated/methods/evalml.objectives.ObjectiveBase.score generated/methods/evalml.objectives.ObjectiveBase.validate_inputs generated/evalml.objectives.BinaryClassificationObjective generated/methods/evalml.objectives.BinaryClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.BinaryClassificationObjective.decision_function generated/methods/evalml.objectives.BinaryClassificationObjective.objective_function generated/methods/evalml.objectives.BinaryClassificationObjective.optimize_threshold generated/methods/evalml.objectives.BinaryClassificationObjective.score generated/methods/evalml.objectives.BinaryClassificationObjective.validate_inputs generated/evalml.objectives.MulticlassClassificationObjective generated/methods/evalml.objectives.MulticlassClassificationObjective.calculate_percent_difference generated/methods/evalml.objectives.MulticlassClassificationObjective.objective_function generated/methods/evalml.objectives.MulticlassClassificationObjective.score generated/methods/evalml.objectives.MulticlassClassificationObjective.validate_inputs generated/evalml.objectives.RegressionObjective generated/methods/evalml.objectives.RegressionObjective.calculate_percent_difference generated/methods/evalml.objectives.RegressionObjective.objective_function generated/methods/evalml.objectives.RegressionObjective.score generated/methods/evalml.objectives.RegressionObjective.validate_inputs generated/evalml.objectives.FraudCost generated/methods/evalml.objectives.FraudCost.__init__ generated/methods/evalml.objectives.FraudCost.calculate_percent_difference generated/methods/evalml.objectives.FraudCost.decision_function generated/methods/evalml.objectives.FraudCost.objective_function generated/methods/evalml.objectives.FraudCost.optimize_threshold generated/methods/evalml.objectives.FraudCost.score generated/methods/evalml.objectives.FraudCost.validate_inputs generated/evalml.objectives.LeadScoring generated/methods/evalml.objectives.LeadScoring.__init__ generated/methods/evalml.objectives.LeadScoring.calculate_percent_difference generated/methods/evalml.objectives.LeadScoring.decision_function generated/methods/evalml.objectives.LeadScoring.objective_function generated/methods/evalml.objectives.LeadScoring.optimize_threshold generated/methods/evalml.objectives.LeadScoring.score generated/methods/evalml.objectives.LeadScoring.validate_inputs generated/evalml.objectives.CostBenefitMatrix generated/methods/evalml.objectives.CostBenefitMatrix.__init__ generated/methods/evalml.objectives.CostBenefitMatrix.calculate_percent_difference generated/methods/evalml.objectives.CostBenefitMatrix.decision_function generated/methods/evalml.objectives.CostBenefitMatrix.objective_function generated/methods/evalml.objectives.CostBenefitMatrix.optimize_threshold generated/methods/evalml.objectives.CostBenefitMatrix.score generated/methods/evalml.objectives.CostBenefitMatrix.validate_inputs generated/evalml.objectives.AccuracyBinary generated/methods/evalml.objectives.AccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.AccuracyBinary.decision_function generated/methods/evalml.objectives.AccuracyBinary.objective_function generated/methods/evalml.objectives.AccuracyBinary.optimize_threshold generated/methods/evalml.objectives.AccuracyBinary.score generated/methods/evalml.objectives.AccuracyBinary.validate_inputs generated/evalml.objectives.AccuracyMulticlass generated/methods/evalml.objectives.AccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.AccuracyMulticlass.objective_function generated/methods/evalml.objectives.AccuracyMulticlass.score generated/methods/evalml.objectives.AccuracyMulticlass.validate_inputs generated/evalml.objectives.AUC generated/methods/evalml.objectives.AUC.calculate_percent_difference generated/methods/evalml.objectives.AUC.decision_function generated/methods/evalml.objectives.AUC.objective_function generated/methods/evalml.objectives.AUC.optimize_threshold generated/methods/evalml.objectives.AUC.score generated/methods/evalml.objectives.AUC.validate_inputs generated/evalml.objectives.AUCMacro generated/methods/evalml.objectives.AUCMacro.calculate_percent_difference generated/methods/evalml.objectives.AUCMacro.objective_function generated/methods/evalml.objectives.AUCMacro.score generated/methods/evalml.objectives.AUCMacro.validate_inputs generated/evalml.objectives.AUCMicro generated/methods/evalml.objectives.AUCMicro.calculate_percent_difference generated/methods/evalml.objectives.AUCMicro.objective_function generated/methods/evalml.objectives.AUCMicro.score generated/methods/evalml.objectives.AUCMicro.validate_inputs generated/evalml.objectives.AUCWeighted generated/methods/evalml.objectives.AUCWeighted.calculate_percent_difference generated/methods/evalml.objectives.AUCWeighted.objective_function generated/methods/evalml.objectives.AUCWeighted.score generated/methods/evalml.objectives.AUCWeighted.validate_inputs generated/evalml.objectives.BalancedAccuracyBinary generated/methods/evalml.objectives.BalancedAccuracyBinary.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyBinary.decision_function generated/methods/evalml.objectives.BalancedAccuracyBinary.objective_function generated/methods/evalml.objectives.BalancedAccuracyBinary.optimize_threshold generated/methods/evalml.objectives.BalancedAccuracyBinary.score generated/methods/evalml.objectives.BalancedAccuracyBinary.validate_inputs generated/evalml.objectives.BalancedAccuracyMulticlass generated/methods/evalml.objectives.BalancedAccuracyMulticlass.calculate_percent_difference generated/methods/evalml.objectives.BalancedAccuracyMulticlass.objective_function generated/methods/evalml.objectives.BalancedAccuracyMulticlass.score generated/methods/evalml.objectives.BalancedAccuracyMulticlass.validate_inputs generated/evalml.objectives.F1 generated/methods/evalml.objectives.F1.calculate_percent_difference generated/methods/evalml.objectives.F1.decision_function generated/methods/evalml.objectives.F1.objective_function generated/methods/evalml.objectives.F1.optimize_threshold generated/methods/evalml.objectives.F1.score generated/methods/evalml.objectives.F1.validate_inputs generated/evalml.objectives.F1Micro generated/methods/evalml.objectives.F1Micro.calculate_percent_difference generated/methods/evalml.objectives.F1Micro.objective_function generated/methods/evalml.objectives.F1Micro.score generated/methods/evalml.objectives.F1Micro.validate_inputs generated/evalml.objectives.F1Macro generated/methods/evalml.objectives.F1Macro.calculate_percent_difference generated/methods/evalml.objectives.F1Macro.objective_function generated/methods/evalml.objectives.F1Macro.score generated/methods/evalml.objectives.F1Macro.validate_inputs generated/evalml.objectives.F1Weighted generated/methods/evalml.objectives.F1Weighted.calculate_percent_difference generated/methods/evalml.objectives.F1Weighted.objective_function generated/methods/evalml.objectives.F1Weighted.score generated/methods/evalml.objectives.F1Weighted.validate_inputs generated/evalml.objectives.LogLossBinary generated/methods/evalml.objectives.LogLossBinary.calculate_percent_difference generated/methods/evalml.objectives.LogLossBinary.decision_function generated/methods/evalml.objectives.LogLossBinary.objective_function generated/methods/evalml.objectives.LogLossBinary.optimize_threshold generated/methods/evalml.objectives.LogLossBinary.score generated/methods/evalml.objectives.LogLossBinary.validate_inputs generated/evalml.objectives.LogLossMulticlass generated/methods/evalml.objectives.LogLossMulticlass.calculate_percent_difference generated/methods/evalml.objectives.LogLossMulticlass.objective_function generated/methods/evalml.objectives.LogLossMulticlass.score generated/methods/evalml.objectives.LogLossMulticlass.validate_inputs generated/evalml.objectives.MCCBinary generated/methods/evalml.objectives.MCCBinary.calculate_percent_difference generated/methods/evalml.objectives.MCCBinary.decision_function generated/methods/evalml.objectives.MCCBinary.objective_function generated/methods/evalml.objectives.MCCBinary.optimize_threshold generated/methods/evalml.objectives.MCCBinary.score generated/methods/evalml.objectives.MCCBinary.validate_inputs generated/evalml.objectives.MCCMulticlass generated/methods/evalml.objectives.MCCMulticlass.calculate_percent_difference generated/methods/evalml.objectives.MCCMulticlass.objective_function generated/methods/evalml.objectives.MCCMulticlass.score generated/methods/evalml.objectives.MCCMulticlass.validate_inputs generated/evalml.objectives.Precision generated/methods/evalml.objectives.Precision.calculate_percent_difference generated/methods/evalml.objectives.Precision.decision_function generated/methods/evalml.objectives.Precision.objective_function generated/methods/evalml.objectives.Precision.optimize_threshold generated/methods/evalml.objectives.Precision.score generated/methods/evalml.objectives.Precision.validate_inputs generated/evalml.objectives.PrecisionMicro generated/methods/evalml.objectives.PrecisionMicro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMicro.objective_function generated/methods/evalml.objectives.PrecisionMicro.score generated/methods/evalml.objectives.PrecisionMicro.validate_inputs generated/evalml.objectives.PrecisionMacro generated/methods/evalml.objectives.PrecisionMacro.calculate_percent_difference generated/methods/evalml.objectives.PrecisionMacro.objective_function generated/methods/evalml.objectives.PrecisionMacro.score generated/methods/evalml.objectives.PrecisionMacro.validate_inputs generated/evalml.objectives.PrecisionWeighted generated/methods/evalml.objectives.PrecisionWeighted.calculate_percent_difference generated/methods/evalml.objectives.PrecisionWeighted.objective_function generated/methods/evalml.objectives.PrecisionWeighted.score generated/methods/evalml.objectives.PrecisionWeighted.validate_inputs generated/evalml.objectives.Recall generated/methods/evalml.objectives.Recall.calculate_percent_difference generated/methods/evalml.objectives.Recall.decision_function generated/methods/evalml.objectives.Recall.objective_function generated/methods/evalml.objectives.Recall.optimize_threshold generated/methods/evalml.objectives.Recall.score generated/methods/evalml.objectives.Recall.validate_inputs generated/evalml.objectives.RecallMicro generated/methods/evalml.objectives.RecallMicro.calculate_percent_difference generated/methods/evalml.objectives.RecallMicro.objective_function generated/methods/evalml.objectives.RecallMicro.score generated/methods/evalml.objectives.RecallMicro.validate_inputs generated/evalml.objectives.RecallMacro generated/methods/evalml.objectives.RecallMacro.calculate_percent_difference generated/methods/evalml.objectives.RecallMacro.objective_function generated/methods/evalml.objectives.RecallMacro.score generated/methods/evalml.objectives.RecallMacro.validate_inputs generated/evalml.objectives.RecallWeighted generated/methods/evalml.objectives.RecallWeighted.calculate_percent_difference generated/methods/evalml.objectives.RecallWeighted.objective_function generated/methods/evalml.objectives.RecallWeighted.score generated/methods/evalml.objectives.RecallWeighted.validate_inputs generated/evalml.objectives.R2 generated/methods/evalml.objectives.R2.calculate_percent_difference generated/methods/evalml.objectives.R2.objective_function generated/methods/evalml.objectives.R2.score generated/methods/evalml.objectives.R2.validate_inputs generated/evalml.objectives.MAE generated/methods/evalml.objectives.MAE.calculate_percent_difference generated/methods/evalml.objectives.MAE.objective_function generated/methods/evalml.objectives.MAE.score generated/methods/evalml.objectives.MAE.validate_inputs generated/evalml.objectives.MSE generated/methods/evalml.objectives.MSE.calculate_percent_difference generated/methods/evalml.objectives.MSE.objective_function generated/methods/evalml.objectives.MSE.score generated/methods/evalml.objectives.MSE.validate_inputs generated/evalml.objectives.MeanSquaredLogError generated/methods/evalml.objectives.MeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.MeanSquaredLogError.objective_function generated/methods/evalml.objectives.MeanSquaredLogError.score generated/methods/evalml.objectives.MeanSquaredLogError.validate_inputs generated/evalml.objectives.MedianAE generated/methods/evalml.objectives.MedianAE.calculate_percent_difference generated/methods/evalml.objectives.MedianAE.objective_function generated/methods/evalml.objectives.MedianAE.score generated/methods/evalml.objectives.MedianAE.validate_inputs generated/evalml.objectives.MaxError generated/methods/evalml.objectives.MaxError.calculate_percent_difference generated/methods/evalml.objectives.MaxError.objective_function generated/methods/evalml.objectives.MaxError.score generated/methods/evalml.objectives.MaxError.validate_inputs generated/evalml.objectives.ExpVariance generated/methods/evalml.objectives.ExpVariance.calculate_percent_difference generated/methods/evalml.objectives.ExpVariance.objective_function generated/methods/evalml.objectives.ExpVariance.score generated/methods/evalml.objectives.ExpVariance.validate_inputs generated/evalml.objectives.RootMeanSquaredError generated/methods/evalml.objectives.RootMeanSquaredError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredError.objective_function generated/methods/evalml.objectives.RootMeanSquaredError.score generated/methods/evalml.objectives.RootMeanSquaredError.validate_inputs generated/evalml.objectives.RootMeanSquaredLogError generated/methods/evalml.objectives.RootMeanSquaredLogError.calculate_percent_difference generated/methods/evalml.objectives.RootMeanSquaredLogError.objective_function generated/methods/evalml.objectives.RootMeanSquaredLogError.score generated/methods/evalml.objectives.RootMeanSquaredLogError.validate_inputs generated/evalml.problem_types.ProblemTypes generated/evalml.problem_types.handle_problem_types generated/evalml.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.LabelLeakageDataCheck generated/methods/evalml.data_checks.LabelLeakageDataCheck.__init__ generated/methods/evalml.data_checks.LabelLeakageDataCheck.validate generated/evalml.data_checks.OutliersDataCheck generated/methods/evalml.data_checks.OutliersDataCheck.__init__ generated/methods/evalml.data_checks.OutliersDataCheck.validate generated/evalml.data_checks.NoVarianceDataCheck generated/methods/evalml.data_checks.NoVarianceDataCheck.__init__ generated/methods/evalml.data_checks.NoVarianceDataCheck.validate generated/evalml.data_checks.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: 2020-09-29T16:55:13.830147Z, end-time: 2020-09-29T16:55:13.939182Z, duration: 0, exit-code: 0 cat latexmkrc $latex = 'latex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $pdflatex = 'pdflatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $lualatex = 'lualatex ' . $ENV{'LATEXOPTS'} . ' %O %S'; $xelatex = 'xelatex --no-pdf ' . $ENV{'LATEXOPTS'} . ' %O %S'; $makeindex = 'makeindex -s python.ist %O -o %D %S'; add_cus_dep( "glo", "gls", 0, "makeglo" ); sub makeglo { return system( "makeindex -s gglo.ist -o '$_[0].gls' '$_[0].glo'" ); } [rtd-command-info] start-time: 2020-09-29T16:55:14.086560Z, end-time: 2020-09-29T16:55:29.327888Z, duration: 15, exit-code: 0 latexmk -r latexmkrc -pdf -f -dvi- -ps- -jobname=feature-labs-inc-evalml -interaction=nonstopmode Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 10) line 4, chunk 1. Subroutine makeglo redefined at (eval 11) line 7, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 1, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 2, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 3, chunk 1. Use of uninitialized value $ENV{"LATEXOPTS"} in concatenation (.) or string at (eval 11) line 4, chunk 1. Latexmk: This is Latexmk, John Collins, 1 January 2015, version: 4.41. File::Glob::glob() will disappear in perl 5.30. Use File::Glob::bsd_glob() instead. at /usr/bin/latexmk line 7482. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 5 undefined on input line 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. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 6 undefine d on input line 431. [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.610 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.610 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] [15] [16] [17] Overfull \vbox (2.03934pt too high) detected at line 1598 [18] [19] [20] LaTeX Warning: Hyper reference `user_guide/model_understanding::doc' on page 21 undefined on input line 1877. [21] [22] [23] [24] [25] [26] Chapter 4. [27] [28] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch::doc' on p age 29 undefined on input line 2433. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 29 undefined on input line 2477. ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2517 ...]{{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.2517 ...]{{keyboard_interrupt_demo_updated}.gif} [29] [30] Overfull \vbox (36.39702pt too high) detected at line 2696 [31] [32] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [33] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [34] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [35] [36] Underfull \hbox (badness 10000) in paragraph at lines 3058--3059 []\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 , [37] [38] LaTeX Warning: Hyper reference `demos/fraud::doc' on page 39 undefined on input line 3158. [39] Underfull \vbox (badness 10000) detected at line 3259 Overfull \vbox (2.68169pt too high) detected at line 3259 [40] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter::doc' on page 41 undefined on input line 3278. [41] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier::doc' on page 42 undefined on input line 3387. [42] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er::doc' on page 43 undefined on input line 3476. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns::doc' on page 43 undefined on input line 3476. [43] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator ::doc' on page 44 undefined on input line 3561. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor::doc' on page 44 undefined on input line 3561. [44] Underfull \vbox (badness 10000) detected at line 3630 Overfull \vbox (2.68169pt too high) detected at line 3630 [45] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily::doc' on page 46 undefined on input line 3640. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes::do c' on page 46 undefined on input line 3643. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor::doc' on page 46 undefined on input line 3711. [46] [47] Underfull \hbox (badness 10000) in paragraph at lines 3817--3819 \T1/ptm/m/n/10 Pipeline def-i-ni-tions must in-herit from the proper pipeline b ase class, \T1/pcr/m/n/10 RegressionPipeline\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `user_guide/components::doc' on page 48 undefine d on input line 3831. [48] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 49 undefine d on input line 3869. [49] [50] LaTeX Warning: Hyper reference `api_reference:components' on page 51 undefined on input line 4043. ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4085 ...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.4085 ...xdimen]{{user_guide_pipelines_16_0}.svg} [51] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component::doc' on page 52 undefined on input line 4177. [52] [53] [54] [55] [56] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 57 undefine d on input line 4728. [57] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 58 undefined on input line 4793. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions_best_worst::doc' on page 58 undefined on inpu t line 4844. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction::doc' on page 58 undefined on input line 4846. [58] Underfull \vbox (badness 10000) detected at line 4950 [59] [60] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions::doc' on page 61 undefined on input line 4975 . Underfull \vbox (badness 5119) detected at line 5040 [61] [62] Underfull \vbox (badness 10000) detected at line 5184 Overfull \vbox (2.68169pt too high) detected at line 5184 [63] LaTeX Warning: Hyper reference `user_guide/components::doc' on page 64 undefine d on input line 5199. [64] Underfull \hbox (badness 10000) in paragraph at lines 5246--5247 \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 [65] [66] LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 67 undefine d on input line 5383. LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 67 undefined on input line 5383. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 67 undefin ed on input line 5384. LaTeX Warning: Hyper reference `user_guide/components::doc' on page 67 undefine d on input line 5389. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:: doc' on page 67 undefined on input line 5389. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder::doc' on page 67 undefined on input line 5394. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel::doc' on page 67 undefined on input line 5399. LaTeX Warning: Hyper reference `user_guide/objectives::doc' on page 67 undefine d on input line 5414. LaTeX Warning: Hyper reference `user_guide/data_checks::doc' on page 67 undefin ed on input line 5419. [67] LaTeX Warning: Hyper reference `user_guide/pipelines::doc' on page 68 undefined on input line 5424. [68] Chapter 5. LaTeX Warning: Hyper reference `generated/evalml.demos.load_fraud:evalml.demos. load_fraud' on page 69 undefined on input line 5455. LaTeX Warning: Hyper reference `generated/evalml.demos.load_wine:evalml.demos.l oad_wine' on page 69 undefined on input line 5460. LaTeX Warning: Hyper reference `generated/evalml.demos.load_breast_cancer:evalm l.demos.load_breast_cancer' on page 69 undefined on input line 5465. LaTeX Warning: Hyper reference `generated/evalml.demos.load_diabetes:evalml.dem os.load_diabetes' on page 69 undefined on input line 5470. LaTeX Warning: Hyper reference `generated/evalml.demos.load_churn:evalml.demos. load_churn' on page 69 undefined on input line 5475. Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 5480. [69] LaTeX Warning: Hyper reference `generated/evalml.preprocessing.drop_nan_target_ rows:evalml.preprocessing.drop_nan_target_rows' on page 70 undefined on input l ine 5624. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.target_distribut ion:evalml.preprocessing.target_distribution' on page 70 undefined on input lin e 5629. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.load_data:evalml .preprocessing.load_data' on page 70 undefined on input line 5634. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.number_of_featur es:evalml.preprocessing.number_of_features' on page 70 undefined on input line 5639. LaTeX Warning: Hyper reference `generated/evalml.preprocessing.split_data:evalm l.preprocessing.split_data' on page 70 undefined on input line 5644. Package longtable Warning: Column widths have changed (longtable) in table 2 on input line 5649. [70] LaTeX Warning: Hyper reference `generated/evalml.automl.AutoMLSearch:evalml.aut oml.AutoMLSearch' on page 71 undefined on input line 5824. [71] Package longtable Warning: Column widths have changed (longtable) in table 3 on input line 5829. Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 []\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 5838--5838 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iteratio ns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \T1/ptm/m/it/10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 tol- Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \T1/ptm/m/it/10 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 al- Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \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 5838--5838 \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 5838--5838 \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 72 undefined on input line 5860. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ad d_to_rankings:evalml.automl.AutoMLSearch.add_to_rankings' on page 72 undefined on input line 5865. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.de scribe_pipeline:evalml.automl.AutoMLSearch.describe_pipeline' on page 72 undefi ned on input line 5870. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.ge t_pipeline:evalml.automl.AutoMLSearch.get_pipeline' on page 72 undefined on inp ut line 5875. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.lo ad:evalml.automl.AutoMLSearch.load' on page 72 undefined on input line 5880. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.pr int_objective_names_allowed_in_automl:evalml.automl.AutoMLSearch.print_objectiv e_names_allowed_in_automl' on page 72 undefined on input line 5885. Overfull \hbox (24.22249pt too wide) in paragraph at lines 5885--5886 []|\T1/pcr/m/sl/10 print_objective_names_allowed_in_automl| LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.sa ve:evalml.automl.AutoMLSearch.save' on page 72 undefined on input line 5890. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.AutoMLSearch.se arch:evalml.automl.AutoMLSearch.search' on page 72 undefined on input line 5895 . Package longtable Warning: Column widths have changed (longtable) in table 4 on input line 5900. Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \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-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol- Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 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 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [72 <./inheritance-1e18c30afd35d4935cafa45952c93c34ddc1adae.pdf>] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 73 undefined on input line 5912. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 73 undefined on input line 5915. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 73 undefined on input line 5959. Underfull \hbox (badness 7869) in paragraph at lines 5959--5963 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [73] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 74 undefined on input line 6014. [74] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 75 undefined on input line 6078. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 75 undefined on input line 6162. [75] Package longtable Warning: Column widths have changed (longtable) in table 5 on input line 6226. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.AutoML Algorithm:evalml.automl.automl_algorithm.AutoMLAlgorithm' on page 76 undefined on input line 6252. LaTeX Warning: Hyper reference `generated/evalml.automl.automl_algorithm.Iterat iveAlgorithm:evalml.automl.automl_algorithm.IterativeAlgorithm' on page 76 unde fined on input line 6257. Package longtable Warning: Column widths have changed (longtable) in table 6 on input line 6262. Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 \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 76 undefined on input line 6293. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.add_result:evalml.automl.automl_algorithm.AutoMLAlgorithm.add _result' on page 76 undefined on input line 6298. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.AutoMLAlgorithm.next_batch:evalml.automl.automl_algorithm.AutoMLAlgorithm.nex t_batch' on page 76 undefined on input line 6303. Package longtable Warning: Column widths have changed (longtable) in table 7 on input line 6308. Underfull \hbox (badness 10000) in paragraph at lines 6315--6315 []\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 , [76 <./inheritance-e1dc270797989ccb29935590c5b95c8455ecfc23.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 77 undefined on input line 6353. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 77 undefined on input line 6374. Package longtable Warning: Column widths have changed (longtable) in table 8 on input line 6410. [77] Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \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 78 undefined on input line 6444. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.add_result:evalml.automl.automl_algorithm.IterativeAlgorit hm.add_result' on page 78 undefined on input line 6449. LaTeX Warning: Hyper reference `generated/methods/evalml.automl.automl_algorith m.IterativeAlgorithm.next_batch:evalml.automl.automl_algorithm.IterativeAlgorit hm.next_batch' on page 78 undefined on input line 6454. Package longtable Warning: Column widths have changed (longtable) in table 9 on input line 6459. Underfull \hbox (badness 10000) in paragraph at lines 6466--6466 []\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 , [78 <./inheritance-cb505c75532111120300ceec2023c4acc3912847.pdf>] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 79 undefined on input line 6511. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 79 undefined on input line 6532. Package longtable Warning: Column widths have changed (longtable) in table 10 on input line 6568. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 79 undefined on input line 6597. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ClassificationPipeli ne:evalml.pipelines.ClassificationPipeline' on page 79 undefined on input line 6602. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BinaryClassification Pipeline:evalml.pipelines.BinaryClassificationPipeline' on page 79 undefined on input line 6607. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MulticlassClassifica tionPipeline:evalml.pipelines.MulticlassClassificationPipeline' on page 79 unde fined on input line 6612. Underfull \hbox (badness 5908) in paragraph at lines 6614--6616 []|\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 79 undefined on input line 6617. Package longtable Warning: Column widths have changed (longtable) in table 11 on input line 6622. [79] Package longtable Warning: Column widths have changed (longtable) in table 12 on input line 6681. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .__init__:evalml.pipelines.PipelineBase.__init__' on page 80 undefined on input line 6702. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .clone:evalml.pipelines.PipelineBase.clone' on page 80 undefined on input line 6707. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .compute_estimator_features:evalml.pipelines.PipelineBase.compute_estimator_fea tures' on page 80 undefined on input line 6712. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .describe:evalml.pipelines.PipelineBase.describe' on page 80 undefined on input line 6717. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .fit:evalml.pipelines.PipelineBase.fit' on page 80 undefined on input line 6722 . LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .get_component:evalml.pipelines.PipelineBase.get_component' on page 80 undefine d on input line 6727. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph:evalml.pipelines.PipelineBase.graph' on page 80 undefined on input line 6732. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .graph_feature_importance:evalml.pipelines.PipelineBase.graph_feature_importanc e' on page 80 undefined on input line 6737. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .load:evalml.pipelines.PipelineBase.load' on page 80 undefined on input line 67 42. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .predict:evalml.pipelines.PipelineBase.predict' on page 80 undefined on input l ine 6747. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .save:evalml.pipelines.PipelineBase.save' on page 80 undefined on input line 67 52. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.PipelineBase .score:evalml.pipelines.PipelineBase.score' on page 80 undefined on input line 6757. Package longtable Warning: Column widths have changed (longtable) in table 13 on input line 6762. [80 <./inheritance-c9c02a07e954a88c0bf8ff03dc9a3f8e07c64ef1.pdf>] [81] [82] [83 <./inheritance-ef9a78b29272c0d632e0db38e101c4b3d5cfc3e5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 14 on input line 7108. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.__init__:evalml.pipelines.ClassificationPipeline.__init__' on page 8 4 undefined on input line 7129. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.clone:evalml.pipelines.ClassificationPipeline.clone' on page 84 unde fined on input line 7134. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.compute_estimator_features:evalml.pipelines.ClassificationPipeline.c ompute_estimator_features' on page 84 undefined on input line 7139. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.describe:evalml.pipelines.ClassificationPipeline.describe' on page 8 4 undefined on input line 7144. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.fit:evalml.pipelines.ClassificationPipeline.fit' on page 84 undefine d on input line 7149. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.get_component:evalml.pipelines.ClassificationPipeline.get_component' on page 84 undefined on input line 7154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph:evalml.pipelines.ClassificationPipeline.graph' on page 84 unde fined on input line 7159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.graph_feature_importance:evalml.pipelines.ClassificationPipeline.gra ph_feature_importance' on page 84 undefined on input line 7164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.load:evalml.pipelines.ClassificationPipeline.load' on page 84 undefi ned on input line 7169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict:evalml.pipelines.ClassificationPipeline.predict' on page 84 undefined on input line 7174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.predict_proba:evalml.pipelines.ClassificationPipeline.predict_proba' on page 84 undefined on input line 7179. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.save:evalml.pipelines.ClassificationPipeline.save' on page 84 undefi ned on input line 7184. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.Classificati onPipeline.score:evalml.pipelines.ClassificationPipeline.score' on page 84 unde fined on input line 7189. Package longtable Warning: Column widths have changed (longtable) in table 15 on input line 7194. [84] Underfull \hbox (badness 10000) in paragraph at lines 7290--7292 []\T1/ptm/m/n/10 by sorted(set(y)) [85] [86] Package longtable Warning: Column widths have changed (longtable) in table 16 on input line 7570. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.__init__:evalml.pipelines.BinaryClassificationPipeline.__init_ _' on page 87 undefined on input line 7591. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.clone:evalml.pipelines.BinaryClassificationPipeline.clone' on page 87 undefined on input line 7596. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.compute_estimator_features:evalml.pipelines.BinaryClassificati onPipeline.compute_estimator_features' on page 87 undefined on input line 7601. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.describe:evalml.pipelines.BinaryClassificationPipeline.describ e' on page 87 undefined on input line 7606. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.fit:evalml.pipelines.BinaryClassificationPipeline.fit' on page 87 undefined on input line 7611. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.get_component:evalml.pipelines.BinaryClassificationPipeline.ge t_component' on page 87 undefined on input line 7616. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph:evalml.pipelines.BinaryClassificationPipeline.graph' on page 87 undefined on input line 7621. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.graph_feature_importance:evalml.pipelines.BinaryClassification Pipeline.graph_feature_importance' on page 87 undefined on input line 7626. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.load:evalml.pipelines.BinaryClassificationPipeline.load' on pa ge 87 undefined on input line 7631. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict:evalml.pipelines.BinaryClassificationPipeline.predict' on page 87 undefined on input line 7636. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.predict_proba:evalml.pipelines.BinaryClassificationPipeline.pr edict_proba' on page 87 undefined on input line 7641. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.save:evalml.pipelines.BinaryClassificationPipeline.save' on pa ge 87 undefined on input line 7646. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BinaryClassi ficationPipeline.score:evalml.pipelines.BinaryClassificationPipeline.score' on page 87 undefined on input line 7651. [87 <./inheritance-30e6f7d2374080246a40d9b962a73732b02075a6.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 17 on input line 7656. [88] Underfull \hbox (badness 10000) in paragraph at lines 7752--7754 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 7823--7823 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [89] [90] Underfull \hbox (badness 10000) in paragraph at lines 7972--7972 []\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 18 on input line 8027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.__init__:evalml.pipelines.MulticlassClassificationPipeline .__init__' on page 91 undefined on input line 8048. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.clone:evalml.pipelines.MulticlassClassificationPipeline.cl one' on page 91 undefined on input line 8053. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.compute_estimator_features:evalml.pipelines.MulticlassClas sificationPipeline.compute_estimator_features' on page 91 undefined on input li ne 8058. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.describe:evalml.pipelines.MulticlassClassificationPipeline .describe' on page 91 undefined on input line 8063. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.fit:evalml.pipelines.MulticlassClassificationPipeline.fit' on page 91 undefined on input line 8068. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.get_component:evalml.pipelines.MulticlassClassificationPip eline.get_component' on page 91 undefined on input line 8073. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph:evalml.pipelines.MulticlassClassificationPipeline.gr aph' on page 91 undefined on input line 8078. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.graph_feature_importance:evalml.pipelines.MulticlassClassi ficationPipeline.graph_feature_importance' on page 91 undefined on input line 8 083. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.load:evalml.pipelines.MulticlassClassificationPipeline.loa d' on page 91 undefined on input line 8088. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict:evalml.pipelines.MulticlassClassificationPipeline. predict' on page 91 undefined on input line 8093. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.predict_proba:evalml.pipelines.MulticlassClassificationPip eline.predict_proba' on page 91 undefined on input line 8098. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.save:evalml.pipelines.MulticlassClassificationPipeline.sav e' on page 91 undefined on input line 8103. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MulticlassCl assificationPipeline.score:evalml.pipelines.MulticlassClassificationPipeline.sc ore' on page 91 undefined on input line 8108. Package longtable Warning: Column widths have changed (longtable) in table 19 on input line 8113. [91 <./inheritance-43bdbc8f20a7302bb014aac4cd9f7913a31ceaef.pdf>] [92] Underfull \hbox (badness 10000) in paragraph at lines 8209--8211 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 8280--8280 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [93] [94] Package longtable Warning: Column widths have changed (longtable) in table 20 on input line 8479. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.__init__:evalml.pipelines.RegressionPipeline.__init__' on page 95 undefi ned on input line 8500. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.clone:evalml.pipelines.RegressionPipeline.clone' on page 95 undefined on input line 8505. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.compute_estimator_features:evalml.pipelines.RegressionPipeline.compute_e stimator_features' on page 95 undefined on input line 8510. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.describe:evalml.pipelines.RegressionPipeline.describe' on page 95 undefi ned on input line 8515. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.fit:evalml.pipelines.RegressionPipeline.fit' on page 95 undefined on inp ut line 8520. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.get_component:evalml.pipelines.RegressionPipeline.get_component' on page 95 undefined on input line 8525. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph:evalml.pipelines.RegressionPipeline.graph' on page 95 undefined on input line 8530. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.graph_feature_importance:evalml.pipelines.RegressionPipeline.graph_featu re_importance' on page 95 undefined on input line 8535. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.load:evalml.pipelines.RegressionPipeline.load' on page 95 undefined on i nput line 8540. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.predict:evalml.pipelines.RegressionPipeline.predict' on page 95 undefine d on input line 8545. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.save:evalml.pipelines.RegressionPipeline.save' on page 95 undefined on i nput line 8550. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.RegressionPi peline.score:evalml.pipelines.RegressionPipeline.score' on page 95 undefined on input line 8555. Package longtable Warning: Column widths have changed (longtable) in table 21 on input line 8560. [95 <./inheritance-c0afc274f6b70cb750e33621ea7a9102f9c27348.pdf>] [96] [97] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineBinaryPipeli ne:evalml.pipelines.BaselineBinaryPipeline' on page 98 undefined on input line 8865. LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineMulticlassPi peline:evalml.pipelines.BaselineMulticlassPipeline' on page 98 undefined on inp ut line 8870. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineBinaryPi peline:evalml.pipelines.ModeBaselineBinaryPipeline' on page 98 undefined on inp ut line 8875. LaTeX Warning: Hyper reference `generated/evalml.pipelines.ModeBaselineMulticla ssPipeline:evalml.pipelines.ModeBaselineMulticlassPipeline' on page 98 undefine d on input line 8880. Package longtable Warning: Column widths have changed (longtable) in table 22 on input line 8885. ! Dimension too large. \wd \@tempboxa l.8890 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} ! Dimension too large. b l.8890 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} [98 <./inheritance-6f3b2275fdce57243ef2e5bab0c3aef495856f0b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 23 on input line 8990. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.__init__:evalml.pipelines.BaselineBinaryPipeline.__init__' on page 9 9 undefined on input line 9011. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.clone:evalml.pipelines.BaselineBinaryPipeline.clone' on page 99 unde fined on input line 9016. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.compute_estimator_features:evalml.pipelines.BaselineBinaryPipeline.c ompute_estimator_features' on page 99 undefined on input line 9021. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.describe:evalml.pipelines.BaselineBinaryPipeline.describe' on page 9 9 undefined on input line 9026. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.fit:evalml.pipelines.BaselineBinaryPipeline.fit' on page 99 undefine d on input line 9031. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.get_component:evalml.pipelines.BaselineBinaryPipeline.get_component' on page 99 undefined on input line 9036. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph:evalml.pipelines.BaselineBinaryPipeline.graph' on page 99 unde fined on input line 9041. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.graph_feature_importance:evalml.pipelines.BaselineBinaryPipeline.gra ph_feature_importance' on page 99 undefined on input line 9046. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.load:evalml.pipelines.BaselineBinaryPipeline.load' on page 99 undefi ned on input line 9051. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict:evalml.pipelines.BaselineBinaryPipeline.predict' on page 99 undefined on input line 9056. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.predict_proba:evalml.pipelines.BaselineBinaryPipeline.predict_proba' on page 99 undefined on input line 9061. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.save:evalml.pipelines.BaselineBinaryPipeline.save' on page 99 undefi ned on input line 9066. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineBina ryPipeline.score:evalml.pipelines.BaselineBinaryPipeline.score' on page 99 unde fined on input line 9071. Package longtable Warning: Column widths have changed (longtable) in table 24 on input line 9076. [99] Underfull \hbox (badness 10000) in paragraph at lines 9172--9174 []\T1/ptm/m/n/10 by sorted(set(y)) [100] [101] ! Dimension too large. \wd \@tempboxa l.9388 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} ! Dimension too large. b l.9388 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} [102 <./inheritance-6fdb41a1217c671bfe68e7ab05ac74d9662f94fd.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 25 on input line 9483. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.__init__:evalml.pipelines.BaselineMulticlassPipeline.__init__' o n page 103 undefined on input line 9504. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.clone:evalml.pipelines.BaselineMulticlassPipeline.clone' on page 103 undefined on input line 9509. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.compute_estimator_features:evalml.pipelines.BaselineMulticlassPi peline.compute_estimator_features' on page 103 undefined on input line 9514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.describe:evalml.pipelines.BaselineMulticlassPipeline.describe' o n page 103 undefined on input line 9519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.fit:evalml.pipelines.BaselineMulticlassPipeline.fit' on page 103 undefined on input line 9524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.get_component:evalml.pipelines.BaselineMulticlassPipeline.get_co mponent' on page 103 undefined on input line 9529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph:evalml.pipelines.BaselineMulticlassPipeline.graph' on page 103 undefined on input line 9534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.graph_feature_importance:evalml.pipelines.BaselineMulticlassPipe line.graph_feature_importance' on page 103 undefined on input line 9539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.load:evalml.pipelines.BaselineMulticlassPipeline.load' on page 1 03 undefined on input line 9544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict:evalml.pipelines.BaselineMulticlassPipeline.predict' on page 103 undefined on input line 9549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.predict_proba:evalml.pipelines.BaselineMulticlassPipeline.predic t_proba' on page 103 undefined on input line 9554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.save:evalml.pipelines.BaselineMulticlassPipeline.save' on page 1 03 undefined on input line 9559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineMult iclassPipeline.score:evalml.pipelines.BaselineMulticlassPipeline.score' on page 103 undefined on input line 9564. Package longtable Warning: Column widths have changed (longtable) in table 26 on input line 9569. [103] Underfull \hbox (badness 10000) in paragraph at lines 9665--9667 []\T1/ptm/m/n/10 by sorted(set(y)) [104] [105] ! Dimension too large. \wd \@tempboxa l.9881 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} ! Dimension too large. b l.9881 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} [106 <./inheritance-cf06fd64f927f0866bf4f5463e7cf87f21ecce82.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 27 on input line 9981. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.__init__:evalml.pipelines.ModeBaselineBinaryPipeline.__init__' o n page 107 undefined on input line 10002. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.clone:evalml.pipelines.ModeBaselineBinaryPipeline.clone' on page 107 undefined on input line 10007. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineBinaryPi peline.compute_estimator_features' on page 107 undefined on input line 10012. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.describe:evalml.pipelines.ModeBaselineBinaryPipeline.describe' o n page 107 undefined on input line 10017. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.fit:evalml.pipelines.ModeBaselineBinaryPipeline.fit' on page 107 undefined on input line 10022. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.get_component:evalml.pipelines.ModeBaselineBinaryPipeline.get_co mponent' on page 107 undefined on input line 10027. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph:evalml.pipelines.ModeBaselineBinaryPipeline.graph' on page 107 undefined on input line 10032. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineBinaryPipe line.graph_feature_importance' on page 107 undefined on input line 10037. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.load:evalml.pipelines.ModeBaselineBinaryPipeline.load' on page 1 07 undefined on input line 10042. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict:evalml.pipelines.ModeBaselineBinaryPipeline.predict' on page 107 undefined on input line 10047. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.predict_proba:evalml.pipelines.ModeBaselineBinaryPipeline.predic t_proba' on page 107 undefined on input line 10052. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.save:evalml.pipelines.ModeBaselineBinaryPipeline.save' on page 1 07 undefined on input line 10057. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline BinaryPipeline.score:evalml.pipelines.ModeBaselineBinaryPipeline.score' on page 107 undefined on input line 10062. Package longtable Warning: Column widths have changed (longtable) in table 28 on input line 10067. [107] Underfull \hbox (badness 10000) in paragraph at lines 10163--10165 []\T1/ptm/m/n/10 by sorted(set(y)) [108] [109] ! Dimension too large. \wd \@tempboxa l.10379 ...fd8f83c30ffb7f39b742afd3323fbc8774.pdf} ! Dimension too large. b l.10379 ...fd8f83c30ffb7f39b742afd3323fbc8774.pdf} Underfull \hbox (badness 10000) in paragraph at lines 10383--10383 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [110 <./inheritance-c83ce9fd8f83c30ffb7f39b742afd3323fbc8774.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 29 on input line 10474. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.__init__:evalml.pipelines.ModeBaselineMulticlassPipeline.__i nit__' on page 111 undefined on input line 10495. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.clone:evalml.pipelines.ModeBaselineMulticlassPipeline.clone' on page 111 undefined on input line 10500. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.compute_estimator_features:evalml.pipelines.ModeBaselineMult iclassPipeline.compute_estimator_features' on page 111 undefined on input line 10505. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.describe:evalml.pipelines.ModeBaselineMulticlassPipeline.des cribe' on page 111 undefined on input line 10510. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.fit:evalml.pipelines.ModeBaselineMulticlassPipeline.fit' on page 111 undefined on input line 10515. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.get_component:evalml.pipelines.ModeBaselineMulticlassPipelin e.get_component' on page 111 undefined on input line 10520. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph:evalml.pipelines.ModeBaselineMulticlassPipeline.graph' on page 111 undefined on input line 10525. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.graph_feature_importance:evalml.pipelines.ModeBaselineMultic lassPipeline.graph_feature_importance' on page 111 undefined on input line 1053 0. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.load:evalml.pipelines.ModeBaselineMulticlassPipeline.load' o n page 111 undefined on input line 10535. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict:evalml.pipelines.ModeBaselineMulticlassPipeline.pred ict' on page 111 undefined on input line 10540. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.predict_proba:evalml.pipelines.ModeBaselineMulticlassPipelin e.predict_proba' on page 111 undefined on input line 10545. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.save:evalml.pipelines.ModeBaselineMulticlassPipeline.save' o n page 111 undefined on input line 10550. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.ModeBaseline MulticlassPipeline.score:evalml.pipelines.ModeBaselineMulticlassPipeline.score' on page 111 undefined on input line 10555. Package longtable Warning: Column widths have changed (longtable) in table 30 on input line 10560. [111] Underfull \hbox (badness 10000) in paragraph at lines 10656--10658 []\T1/ptm/m/n/10 by sorted(set(y)) [112] Overfull \hbox (18.95404pt too wide) in paragraph at lines 10727--10727 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [113] LaTeX Warning: Hyper reference `generated/evalml.pipelines.BaselineRegressionPi peline:evalml.pipelines.BaselineRegressionPipeline' on page 114 undefined on in put line 10890. LaTeX Warning: Hyper reference `generated/evalml.pipelines.MeanBaselineRegressi onPipeline:evalml.pipelines.MeanBaselineRegressionPipeline' on page 114 undefin ed on input line 10895. Package longtable Warning: Column widths have changed (longtable) in table 31 on input line 10900. [114 <./inheritance-626b364d1301d7fd46578c124286b3dd895b2423.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 32 on input line 10995. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.__init__:evalml.pipelines.BaselineRegressionPipeline.__init__' o n page 115 undefined on input line 11016. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.clone:evalml.pipelines.BaselineRegressionPipeline.clone' on page 115 undefined on input line 11021. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.compute_estimator_features:evalml.pipelines.BaselineRegressionPi peline.compute_estimator_features' on page 115 undefined on input line 11026. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.describe:evalml.pipelines.BaselineRegressionPipeline.describe' o n page 115 undefined on input line 11031. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.fit:evalml.pipelines.BaselineRegressionPipeline.fit' on page 115 undefined on input line 11036. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.get_component:evalml.pipelines.BaselineRegressionPipeline.get_co mponent' on page 115 undefined on input line 11041. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph:evalml.pipelines.BaselineRegressionPipeline.graph' on page 115 undefined on input line 11046. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.graph_feature_importance:evalml.pipelines.BaselineRegressionPipe line.graph_feature_importance' on page 115 undefined on input line 11051. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.load:evalml.pipelines.BaselineRegressionPipeline.load' on page 1 15 undefined on input line 11056. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.predict:evalml.pipelines.BaselineRegressionPipeline.predict' on page 115 undefined on input line 11061. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.save:evalml.pipelines.BaselineRegressionPipeline.save' on page 1 15 undefined on input line 11066. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.BaselineRegr essionPipeline.score:evalml.pipelines.BaselineRegressionPipeline.score' on page 115 undefined on input line 11071. Package longtable Warning: Column widths have changed (longtable) in table 33 on input line 11076. [115] [116] [117] Underfull \hbox (badness 10000) in paragraph at lines 11367--11367 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [118 <./inheritance-85c49b58be816edfd1f3e23fbf93004a41b913d1.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 34 on input line 11453. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.__init__:evalml.pipelines.MeanBaselineRegressionPipeline.__i nit__' on page 119 undefined on input line 11474. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.clone:evalml.pipelines.MeanBaselineRegressionPipeline.clone' on page 119 undefined on input line 11479. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.compute_estimator_features:evalml.pipelines.MeanBaselineRegr essionPipeline.compute_estimator_features' on page 119 undefined on input line 11484. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.describe:evalml.pipelines.MeanBaselineRegressionPipeline.des cribe' on page 119 undefined on input line 11489. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.fit:evalml.pipelines.MeanBaselineRegressionPipeline.fit' on page 119 undefined on input line 11494. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.get_component:evalml.pipelines.MeanBaselineRegressionPipelin e.get_component' on page 119 undefined on input line 11499. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph:evalml.pipelines.MeanBaselineRegressionPipeline.graph' on page 119 undefined on input line 11504. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.graph_feature_importance:evalml.pipelines.MeanBaselineRegres sionPipeline.graph_feature_importance' on page 119 undefined on input line 1150 9. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.load:evalml.pipelines.MeanBaselineRegressionPipeline.load' o n page 119 undefined on input line 11514. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.predict:evalml.pipelines.MeanBaselineRegressionPipeline.pred ict' on page 119 undefined on input line 11519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.save:evalml.pipelines.MeanBaselineRegressionPipeline.save' o n page 119 undefined on input line 11524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.MeanBaseline RegressionPipeline.score:evalml.pipelines.MeanBaselineRegressionPipeline.score' on page 119 undefined on input line 11529. Package longtable Warning: Column widths have changed (longtable) in table 35 on input line 11534. [119] [120] Overfull \hbox (18.95404pt too wide) in paragraph at lines 11698--11698 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [121] LaTeX Warning: Hyper reference `generated/evalml.pipelines.utils.make_pipeline: evalml.pipelines.utils.make_pipeline' on page 122 undefined on input line 11839 . Package longtable Warning: Column widths have changed (longtable) in table 36 on input line 11844. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 122 undefined on input line 118 66. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Component Base:evalml.pipelines.components.ComponentBase' on page 122 undefined on input line 11904. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Transform er:evalml.pipelines.components.Transformer' on page 122 undefined on input line 11909. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Estimator :evalml.pipelines.components.Estimator' on page 122 undefined on input line 119 14. Package longtable Warning: Column widths have changed (longtable) in table 37 on input line 11919. [122] Underfull \hbox (badness 10000) in paragraph at lines 11928--11928 []\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 11928--11928 \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 123 undefined on input line 11950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.clone:evalml.pipelines.components.ComponentBase.clone' on page 123 undefined on input line 11955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.describe:evalml.pipelines.components.ComponentBase.describe' on pa ge 123 undefined on input line 11960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.fit:evalml.pipelines.components.ComponentBase.fit' on page 123 und efined on input line 11965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.load:evalml.pipelines.components.ComponentBase.load' on page 123 u ndefined on input line 11970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C omponentBase.save:evalml.pipelines.components.ComponentBase.save' on page 123 u ndefined on input line 11975. Package longtable Warning: Column widths have changed (longtable) in table 38 on input line 11980. Underfull \hbox (badness 10000) in paragraph at lines 11987--11987 []\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 , [123 <./inheritance-f487f7257db490cd12fcb79f102190e3106f95d4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12119--12119 []\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 12119--12119 \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 , [124 <./inheritance-021f4dd9c4df0c6d79e2670d0604cf002005c056.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.__init__:evalml.pipelines.components.Transformer.__init__' on page 1 25 undefined on input line 12150. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.clone:evalml.pipelines.components.Transformer.clone' on page 125 und efined on input line 12155. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.describe:evalml.pipelines.components.Transformer.describe' on page 1 25 undefined on input line 12160. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit:evalml.pipelines.components.Transformer.fit' on page 125 undefin ed on input line 12165. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.fit_transform:evalml.pipelines.components.Transformer.fit_transform' on page 125 undefined on input line 12170. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.load:evalml.pipelines.components.Transformer.load' on page 125 undef ined on input line 12175. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.save:evalml.pipelines.components.Transformer.save' on page 125 undef ined on input line 12180. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T ransformer.transform:evalml.pipelines.components.Transformer.transform' on page 125 undefined on input line 12185. Package longtable Warning: Column widths have changed (longtable) in table 39 on input line 12190. [125] [126] Underfull \hbox (badness 10000) in paragraph at lines 12385--12385 []\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 127 u ndefined on input line 12415. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.clone:evalml.pipelines.components.Estimator.clone' on page 127 undefin ed on input line 12420. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.describe:evalml.pipelines.components.Estimator.describe' on page 127 u ndefined on input line 12425. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.fit:evalml.pipelines.components.Estimator.fit' on page 127 undefined o n input line 12430. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.load:evalml.pipelines.components.Estimator.load' on page 127 undefined on input line 12435. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict:evalml.pipelines.components.Estimator.predict' on page 127 und efined on input line 12440. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.predict_proba:evalml.pipelines.components.Estimator.predict_proba' on page 127 undefined on input line 12445. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E stimator.save:evalml.pipelines.components.Estimator.save' on page 127 undefined on input line 12450. Package longtable Warning: Column widths have changed (longtable) in table 40 on input line 12455. [127 <./inheritance-36c72da075e84c783f4071052fc8408a1ab6f3de.pdf>] [128] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.all owed_model_families:evalml.pipelines.components.utils.allowed_model_families' o n page 129 undefined on input line 12652. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.utils.get _estimators:evalml.pipelines.components.utils.get_estimators' on page 129 undef ined on input line 12657. Package longtable Warning: Column widths have changed (longtable) in table 41 on input line 12662. LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 129 undefined on input line 12673. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 129 undefined on input line 12679. Underfull \hbox (badness 10000) in paragraph at lines 12691--12691 []\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 129 undefined on input line 12698. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 129 undefined on input line 12701. [129] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropColum ns:evalml.pipelines.components.DropColumns' on page 130 undefined on input line 12739. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SelectCol umns:evalml.pipelines.components.SelectColumns' on page 130 undefined on input line 12744. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.OneHotEnc oder:evalml.pipelines.components.OneHotEncoder' on page 130 undefined on input line 12749. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.PerColumn Imputer:evalml.pipelines.components.PerColumnImputer' on page 130 undefined on input line 12754. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.Imputer:e valml.pipelines.components.Imputer' on page 130 undefined on input line 12759. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.SimpleImp uter:evalml.pipelines.components.SimpleImputer' on page 130 undefined on input line 12764. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.StandardS caler:evalml.pipelines.components.StandardScaler' on page 130 undefined on inpu t line 12769. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFRegress orSelectFromModel:evalml.pipelines.components.RFRegressorSelectFromModel' on pa ge 130 undefined on input line 12774. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RFClassif ierSelectFromModel:evalml.pipelines.components.RFClassifierSelectFromModel' on page 130 undefined on input line 12779. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DropNullC olumns:evalml.pipelines.components.DropNullColumns' on page 130 undefined on in put line 12784. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.DateTimeF eaturizer:evalml.pipelines.components.DateTimeFeaturizer' on page 130 undefined on input line 12789. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.TextFeatu rizer:evalml.pipelines.components.TextFeaturizer' on page 130 undefined on inpu t line 12794. Package longtable Warning: Column widths have changed (longtable) in table 42 on input line 12799. ! Dimension too large. \wd \@tempboxa l.12804 ...b9596c3adb25418e9bc3aca3f493649286.pdf} ! Dimension too large. b l.12804 ...b9596c3adb25418e9bc3aca3f493649286.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12808--12808 []\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 43 on input line 12864. [130 <./inheritance-fca7a4b9596c3adb25418e9bc3aca3f493649286.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.__init__:evalml.pipelines.components.DropColumns.__init__' on page 1 31 undefined on input line 12885. Underfull \hbox (badness 7576) in paragraph at lines 12887--12889 []|\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 131 und efined on input line 12890. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.describe:evalml.pipelines.components.DropColumns.describe' on page 1 31 undefined on input line 12895. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit:evalml.pipelines.components.DropColumns.fit' on page 131 undefin ed on input line 12900. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.fit_transform:evalml.pipelines.components.DropColumns.fit_transform' on page 131 undefined on input line 12905. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.load:evalml.pipelines.components.DropColumns.load' on page 131 undef ined on input line 12910. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.save:evalml.pipelines.components.DropColumns.save' on page 131 undef ined on input line 12915. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropColumns.transform:evalml.pipelines.components.DropColumns.transform' on page 131 undefined on input line 12920. Package longtable Warning: Column widths have changed (longtable) in table 44 on input line 12925. [131] [132] ! Dimension too large. \wd \@tempboxa l.13121 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} ! Dimension too large. b l.13121 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13125--13125 []\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 45 on input line 13181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.__init__:evalml.pipelines.components.SelectColumns.__init__' on pa ge 133 undefined on input line 13202. Underfull \hbox (badness 7576) in paragraph at lines 13204--13206 []|\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 133 undefined on input line 13207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.describe:evalml.pipelines.components.SelectColumns.describe' on pa ge 133 undefined on input line 13212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit:evalml.pipelines.components.SelectColumns.fit' on page 133 und efined on input line 13217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.fit_transform:evalml.pipelines.components.SelectColumns.fit_transf orm' on page 133 undefined on input line 13222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.load:evalml.pipelines.components.SelectColumns.load' on page 133 u ndefined on input line 13227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.save:evalml.pipelines.components.SelectColumns.save' on page 133 u ndefined on input line 13232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S electColumns.transform:evalml.pipelines.components.SelectColumns.transform' on page 133 undefined on input line 13237. Package longtable Warning: Column widths have changed (longtable) in table 46 on input line 13242. [133 <./inheritance-54e057ebf33d8169cae4eb13364dd9d150ffc09c.pdf>] [134] ! Dimension too large. \wd \@tempboxa l.13438 ...68f43483a177df3d97f31bf9b996977758.pdf} ! Dimension too large. b l.13438 ...68f43483a177df3d97f31bf9b996977758.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 \T1/ptm/m/it/10 drop=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 \T1/ptm/m/it/10 dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [135 <./inheritance-e57eeb68f43483a177df3d97f31bf9b996977758.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 47 on input line 13498. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.__init__:evalml.pipelines.components.OneHotEncoder.__init__' on pa ge 136 undefined on input line 13519. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.categories:evalml.pipelines.components.OneHotEncoder.categories' o n page 136 undefined on input line 13524. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.clone:evalml.pipelines.components.OneHotEncoder.clone' on page 136 undefined on input line 13529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.describe:evalml.pipelines.components.OneHotEncoder.describe' on pa ge 136 undefined on input line 13534. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit:evalml.pipelines.components.OneHotEncoder.fit' on page 136 und efined on input line 13539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.fit_transform:evalml.pipelines.components.OneHotEncoder.fit_transf orm' on page 136 undefined on input line 13544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.get_feature_names:evalml.pipelines.components.OneHotEncoder.get_fe ature_names' on page 136 undefined on input line 13549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.load:evalml.pipelines.components.OneHotEncoder.load' on page 136 u ndefined on input line 13554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.save:evalml.pipelines.components.OneHotEncoder.save' on page 136 u ndefined on input line 13559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.O neHotEncoder.transform:evalml.pipelines.components.OneHotEncoder.transform' on page 136 undefined on input line 13564. Package longtable Warning: Column widths have changed (longtable) in table 48 on input line 13569. [136] [137] ! Dimension too large. \wd \@tempboxa l.13826 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} ! Dimension too large. b l.13826 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} [138] Underfull \hbox (badness 10000) in paragraph at lines 13830--13830 []\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 13830--13830 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 49 on input line 13886. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.__init__:evalml.pipelines.components.PerColumnImputer.__init__' on page 139 undefined on input line 13907. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.clone:evalml.pipelines.components.PerColumnImputer.clone' on pa ge 139 undefined on input line 13912. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.describe:evalml.pipelines.components.PerColumnImputer.describe' on page 139 undefined on input line 13917. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit:evalml.pipelines.components.PerColumnImputer.fit' on page 1 39 undefined on input line 13922. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.fit_transform:evalml.pipelines.components.PerColumnImputer.fit_ transform' on page 139 undefined on input line 13927. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.load:evalml.pipelines.components.PerColumnImputer.load' on page 139 undefined on input line 13932. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.save:evalml.pipelines.components.PerColumnImputer.save' on page 139 undefined on input line 13937. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.P erColumnImputer.transform:evalml.pipelines.components.PerColumnImputer.transfor m' on page 139 undefined on input line 13942. Package longtable Warning: Column widths have changed (longtable) in table 50 on input line 13947. Overfull \hbox (5.61217pt too wide) in paragraph at lines 13954--13954 []\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 13959--13963 []\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, [139 <./inheritance-8338936377eb6c52dd1e302cda06dee3a30d7f4b.pdf>] [140] ! Dimension too large. \wd \@tempboxa l.14158 ...62412556152e04415250ae9ebeeb97ab71.pdf} ! Dimension too large. b l.14158 ...62412556152e04415250ae9ebeeb97ab71.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14162--14162 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14162--14162 \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 14162--14162 \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 14162--14162 \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 , [141 <./inheritance-1bd84e62412556152e04415250ae9ebeeb97ab71.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 51 on input line 14218. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.__init__:evalml.pipelines.components.Imputer.__init__' on page 142 undef ined on input line 14239. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.clone:evalml.pipelines.components.Imputer.clone' on page 142 undefined o n input line 14244. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.describe:evalml.pipelines.components.Imputer.describe' on page 142 undef ined on input line 14249. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit:evalml.pipelines.components.Imputer.fit' on page 142 undefined on in put line 14254. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.fit_transform:evalml.pipelines.components.Imputer.fit_transform' on page 142 undefined on input line 14259. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.load:evalml.pipelines.components.Imputer.load' on page 142 undefined on input line 14264. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.save:evalml.pipelines.components.Imputer.save' on page 142 undefined on input line 14269. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.I mputer.transform:evalml.pipelines.components.Imputer.transform' on page 142 und efined on input line 14274. Package longtable Warning: Column widths have changed (longtable) in table 52 on input line 14279. Underfull \hbox (badness 10000) in paragraph at lines 14286--14286 []\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 , [142] [143] Overfull \hbox (62.0307pt too wide) in paragraph at lines 14462--14464 [] ! Dimension too large. \wd \@tempboxa l.14493 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} ! Dimension too large. b l.14493 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14497--14497 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14497--14497 \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 , [144 <./inheritance-e4eeacd70f8e119fe715c7a7b33e3a4875175a57.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 53 on input line 14553. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.__init__:evalml.pipelines.components.SimpleImputer.__init__' on pa ge 145 undefined on input line 14574. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.clone:evalml.pipelines.components.SimpleImputer.clone' on page 145 undefined on input line 14579. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.describe:evalml.pipelines.components.SimpleImputer.describe' on pa ge 145 undefined on input line 14584. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit:evalml.pipelines.components.SimpleImputer.fit' on page 145 und efined on input line 14589. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.fit_transform:evalml.pipelines.components.SimpleImputer.fit_transf orm' on page 145 undefined on input line 14594. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.load:evalml.pipelines.components.SimpleImputer.load' on page 145 u ndefined on input line 14599. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.save:evalml.pipelines.components.SimpleImputer.save' on page 145 u ndefined on input line 14604. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S impleImputer.transform:evalml.pipelines.components.SimpleImputer.transform' on page 145 undefined on input line 14609. Package longtable Warning: Column widths have changed (longtable) in table 54 on input line 14614. [145] [146] Overfull \hbox (62.0307pt too wide) in paragraph at lines 14793--14795 [] ! Dimension too large. \wd \@tempboxa l.14824 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} ! Dimension too large. b l.14824 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} Package longtable Warning: Column widths have changed (longtable) in table 55 on input line 14884. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.__init__:evalml.pipelines.components.StandardScaler.__init__' on page 147 undefined on input line 14905. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.clone:evalml.pipelines.components.StandardScaler.clone' on page 1 47 undefined on input line 14910. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.describe:evalml.pipelines.components.StandardScaler.describe' on page 147 undefined on input line 14915. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit:evalml.pipelines.components.StandardScaler.fit' on page 147 u ndefined on input line 14920. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.fit_transform:evalml.pipelines.components.StandardScaler.fit_tran sform' on page 147 undefined on input line 14925. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.load:evalml.pipelines.components.StandardScaler.load' on page 147 undefined on input line 14930. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.save:evalml.pipelines.components.StandardScaler.save' on page 147 undefined on input line 14935. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.S tandardScaler.transform:evalml.pipelines.components.StandardScaler.transform' o n page 147 undefined on input line 14940. Package longtable Warning: Column widths have changed (longtable) in table 56 on input line 14945. [147 <./inheritance-783f43e35a00a3a1072d51a3e2bb993e953ab96d.pdf>] [148] ! Dimension too large. \wd \@tempboxa l.15136 ...09315650d1a7865965715098101afdb8a5.pdf} ! Dimension too large. b l.15136 ...09315650d1a7865965715098101afdb8a5.pdf} Overfull \hbox (19.00412pt too wide) in paragraph at lines 15140--15140 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \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 15140--15140 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [149 <./inheritance-e6d10a09315650d1a7865965715098101afdb8a5.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 57 on input line 15196. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.__init__:evalml.pipelines.components.RFRegressorSelec tFromModel.__init__' on page 150 undefined on input line 15217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.clone:evalml.pipelines.components.RFRegressorSelectFr omModel.clone' on page 150 undefined on input line 15222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.describe:evalml.pipelines.components.RFRegressorSelec tFromModel.describe' on page 150 undefined on input line 15227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit:evalml.pipelines.components.RFRegressorSelectFrom Model.fit' on page 150 undefined on input line 15232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.fit_transform:evalml.pipelines.components.RFRegressor SelectFromModel.fit_transform' on page 150 undefined on input line 15237. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.get_names:evalml.pipelines.components.RFRegressorSele ctFromModel.get_names' on page 150 undefined on input line 15242. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.load:evalml.pipelines.components.RFRegressorSelectFro mModel.load' on page 150 undefined on input line 15247. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.save:evalml.pipelines.components.RFRegressorSelectFro mModel.save' on page 150 undefined on input line 15252. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FRegressorSelectFromModel.transform:evalml.pipelines.components.RFRegressorSele ctFromModel.transform' on page 150 undefined on input line 15257. Package longtable Warning: Column widths have changed (longtable) in table 58 on input line 15262. Underfull \hbox (badness 10000) in paragraph at lines 15269--15269 []\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 15269--15269 \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 15269--15269 \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 , [150] [151] ! Dimension too large. \wd \@tempboxa l.15469 ...82bfc926d25216b2a75c4269183a5093c6.pdf} ! Dimension too large. b l.15469 ...82bfc926d25216b2a75c4269183a5093c6.pdf} Overfull \hbox (25.00412pt too wide) in paragraph at lines 15473--15473 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \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 15473--15473 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [152 <./inheritance-f768dc82bfc926d25216b2a75c4269183a5093c6.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 59 on input line 15529. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.__init__:evalml.pipelines.components.RFClassifierSel ectFromModel.__init__' on page 153 undefined on input line 15550. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.clone:evalml.pipelines.components.RFClassifierSelect FromModel.clone' on page 153 undefined on input line 15555. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.describe:evalml.pipelines.components.RFClassifierSel ectFromModel.describe' on page 153 undefined on input line 15560. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit:evalml.pipelines.components.RFClassifierSelectFr omModel.fit' on page 153 undefined on input line 15565. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.fit_transform:evalml.pipelines.components.RFClassifi erSelectFromModel.fit_transform' on page 153 undefined on input line 15570. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.get_names:evalml.pipelines.components.RFClassifierSe lectFromModel.get_names' on page 153 undefined on input line 15575. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.load:evalml.pipelines.components.RFClassifierSelectF romModel.load' on page 153 undefined on input line 15580. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.save:evalml.pipelines.components.RFClassifierSelectF romModel.save' on page 153 undefined on input line 15585. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R FClassifierSelectFromModel.transform:evalml.pipelines.components.RFClassifierSe lectFromModel.transform' on page 153 undefined on input line 15590. Package longtable Warning: Column widths have changed (longtable) in table 60 on input line 15595. Underfull \hbox (badness 10000) in paragraph at lines 15602--15602 []\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 15602--15602 \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 15602--15602 \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 , [153] [154] ! Dimension too large. \wd \@tempboxa l.15802 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} ! Dimension too large. b l.15802 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} Underfull \hbox (badness 10000) in paragraph at lines 15806--15806 []\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 61 on input line 15862. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.__init__:evalml.pipelines.components.DropNullColumns.__init__' o n page 155 undefined on input line 15883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.clone:evalml.pipelines.components.DropNullColumns.clone' on page 155 undefined on input line 15888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.describe:evalml.pipelines.components.DropNullColumns.describe' o n page 155 undefined on input line 15893. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit:evalml.pipelines.components.DropNullColumns.fit' on page 155 undefined on input line 15898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.fit_transform:evalml.pipelines.components.DropNullColumns.fit_tr ansform' on page 155 undefined on input line 15903. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.load:evalml.pipelines.components.DropNullColumns.load' on page 1 55 undefined on input line 15908. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.save:evalml.pipelines.components.DropNullColumns.save' on page 1 55 undefined on input line 15913. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ropNullColumns.transform:evalml.pipelines.components.DropNullColumns.transform' on page 155 undefined on input line 15918. [155 <./inheritance-86ffa1890ef3eb1c7d1898d642a71b7d626981ee.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 62 on input line 15923. [156] ! Dimension too large. \wd \@tempboxa l.16121 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} ! Dimension too large. b l.16121 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} [157] Package longtable Warning: Column widths have changed (longtable) in table 63 on input line 16181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.__init__:evalml.pipelines.components.DateTimeFeaturizer.__ini t__' on page 158 undefined on input line 16202. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.clone:evalml.pipelines.components.DateTimeFeaturizer.clone' o n page 158 undefined on input line 16207. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.describe:evalml.pipelines.components.DateTimeFeaturizer.descr ibe' on page 158 undefined on input line 16212. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit:evalml.pipelines.components.DateTimeFeaturizer.fit' on pa ge 158 undefined on input line 16217. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.fit_transform:evalml.pipelines.components.DateTimeFeaturizer. fit_transform' on page 158 undefined on input line 16222. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.load:evalml.pipelines.components.DateTimeFeaturizer.load' on page 158 undefined on input line 16227. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.save:evalml.pipelines.components.DateTimeFeaturizer.save' on page 158 undefined on input line 16232. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.D ateTimeFeaturizer.transform:evalml.pipelines.components.DateTimeFeaturizer.tran sform' on page 158 undefined on input line 16237. Package longtable Warning: Column widths have changed (longtable) in table 64 on input line 16242. [158 <./inheritance-c389f1735004539501381a1bdf4abbf7e4d62ab8.pdf>] [159] ! Dimension too large. \wd \@tempboxa l.16444 ...e37cbdb7720f90b05a56545668be85270a.pdf} ! Dimension too large. b l.16444 ...e37cbdb7720f90b05a56545668be85270a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16448--16448 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [160 <./inheritance-c617d4e37cbdb7720f90b05a56545668be85270a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 65 on input line 16504. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.__init__:evalml.pipelines.components.TextFeaturizer.__init__' on page 161 undefined on input line 16525. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.clone:evalml.pipelines.components.TextFeaturizer.clone' on page 1 61 undefined on input line 16530. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.describe:evalml.pipelines.components.TextFeaturizer.describe' on page 161 undefined on input line 16535. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit:evalml.pipelines.components.TextFeaturizer.fit' on page 161 u ndefined on input line 16540. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.fit_transform:evalml.pipelines.components.TextFeaturizer.fit_tran sform' on page 161 undefined on input line 16545. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.load:evalml.pipelines.components.TextFeaturizer.load' on page 161 undefined on input line 16550. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.save:evalml.pipelines.components.TextFeaturizer.save' on page 161 undefined on input line 16555. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.T extFeaturizer.transform:evalml.pipelines.components.TextFeaturizer.transform' o n page 161 undefined on input line 16560. Package longtable Warning: Column widths have changed (longtable) in table 66 on input line 16565. [161] [162] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostC lassifier:evalml.pipelines.components.CatBoostClassifier' on page 163 undefined on input line 16790. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tClassifier:evalml.pipelines.components.ElasticNetClassifier' on page 163 undef ined on input line 16795. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sClassifier:evalml.pipelines.components.ExtraTreesClassifier' on page 163 undef ined on input line 16800. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estClassifier:evalml.pipelines.components.RandomForestClassifier' on page 163 u ndefined on input line 16805. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LightGBMC lassifier:evalml.pipelines.components.LightGBMClassifier' on page 163 undefined on input line 16810. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LogisticR egressionClassifier:evalml.pipelines.components.LogisticRegressionClassifier' o n page 163 undefined on input line 16815. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostCl assifier:evalml.pipelines.components.XGBoostClassifier' on page 163 undefined o n input line 16820. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineC lassifier:evalml.pipelines.components.BaselineClassifier' on page 163 undefined on input line 16825. Package longtable Warning: Column widths have changed (longtable) in table 67 on input line 16830. ! Dimension too large. \wd \@tempboxa l.16835 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} ! Dimension too large. b l.16835 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16839--16839 []\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 16839--16839 \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 16839--16839 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [163 <./inheritance-44d810727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 68 on input line 16919. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.__init__:evalml.pipelines.components.CatBoostClassifier.__ini t__' on page 164 undefined on input line 16940. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.clone:evalml.pipelines.components.CatBoostClassifier.clone' o n page 164 undefined on input line 16945. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.describe:evalml.pipelines.components.CatBoostClassifier.descr ibe' on page 164 undefined on input line 16950. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.fit:evalml.pipelines.components.CatBoostClassifier.fit' on pa ge 164 undefined on input line 16955. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.load:evalml.pipelines.components.CatBoostClassifier.load' on page 164 undefined on input line 16960. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict:evalml.pipelines.components.CatBoostClassifier.predic t' on page 164 undefined on input line 16965. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.predict_proba:evalml.pipelines.components.CatBoostClassifier. predict_proba' on page 164 undefined on input line 16970. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostClassifier.save:evalml.pipelines.components.CatBoostClassifier.save' on page 164 undefined on input line 16975. Package longtable Warning: Column widths have changed (longtable) in table 69 on input line 16980. Underfull \hbox (badness 10000) in paragraph at lines 16987--16987 []\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 16987--16987 \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 , [164] [165] ! Dimension too large. \wd \@tempboxa l.17159 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} ! Dimension too large. b l.17159 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17163--17163 []\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 17163--17163 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17163--17163 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 70 on input line 17230. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.__init__:evalml.pipelines.components.ElasticNetClassifier._ _init__' on page 166 undefined on input line 17251. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.clone:evalml.pipelines.components.ElasticNetClassifier.clon e' on page 166 undefined on input line 17256. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.describe:evalml.pipelines.components.ElasticNetClassifier.d escribe' on page 166 undefined on input line 17261. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.fit:evalml.pipelines.components.ElasticNetClassifier.fit' o n page 166 undefined on input line 17266. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.load:evalml.pipelines.components.ElasticNetClassifier.load' on page 166 undefined on input line 17271. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict:evalml.pipelines.components.ElasticNetClassifier.pr edict' on page 166 undefined on input line 17276. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.predict_proba:evalml.pipelines.components.ElasticNetClassif ier.predict_proba' on page 166 undefined on input line 17281. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetClassifier.save:evalml.pipelines.components.ElasticNetClassifier.save' on page 166 undefined on input line 17286. Package longtable Warning: Column widths have changed (longtable) in table 71 on input line 17291. [166 <./inheritance-f7deef258c28bc95d279b46640f5e38f28e48ba7.pdf>] [167] ! Dimension too large. \wd \@tempboxa l.17470 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} ! Dimension too large. b l.17470 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [168 <./inheritance-12cb2cf06b5c4e0fc80056aefe0421510f1594e4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 72 on input line 17541. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.__init__:evalml.pipelines.components.ExtraTreesClassifier._ _init__' on page 169 undefined on input line 17562. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.clone:evalml.pipelines.components.ExtraTreesClassifier.clon e' on page 169 undefined on input line 17567. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.describe:evalml.pipelines.components.ExtraTreesClassifier.d escribe' on page 169 undefined on input line 17572. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.fit:evalml.pipelines.components.ExtraTreesClassifier.fit' o n page 169 undefined on input line 17577. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.load:evalml.pipelines.components.ExtraTreesClassifier.load' on page 169 undefined on input line 17582. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict:evalml.pipelines.components.ExtraTreesClassifier.pr edict' on page 169 undefined on input line 17587. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.predict_proba:evalml.pipelines.components.ExtraTreesClassif ier.predict_proba' on page 169 undefined on input line 17592. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesClassifier.save:evalml.pipelines.components.ExtraTreesClassifier.save' on page 169 undefined on input line 17597. Package longtable Warning: Column widths have changed (longtable) in table 73 on input line 17602. Underfull \hbox (badness 10000) in paragraph at lines 17609--17609 []\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 17609--17609 \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 , [169] [170] ! Dimension too large. \wd \@tempboxa l.17781 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} ! Dimension too large. b l.17781 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17785--17785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17785--17785 \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 74 on input line 17852. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.__init__:evalml.pipelines.components.RandomForestClassifi er.__init__' on page 171 undefined on input line 17873. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.clone:evalml.pipelines.components.RandomForestClassifier. clone' on page 171 undefined on input line 17878. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.describe:evalml.pipelines.components.RandomForestClassifi er.describe' on page 171 undefined on input line 17883. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.fit:evalml.pipelines.components.RandomForestClassifier.fi t' on page 171 undefined on input line 17888. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.load:evalml.pipelines.components.RandomForestClassifier.l oad' on page 171 undefined on input line 17893. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict:evalml.pipelines.components.RandomForestClassifie r.predict' on page 171 undefined on input line 17898. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.predict_proba:evalml.pipelines.components.RandomForestCla ssifier.predict_proba' on page 171 undefined on input line 17903. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestClassifier.save:evalml.pipelines.components.RandomForestClassifier.s ave' on page 171 undefined on input line 17908. Package longtable Warning: Column widths have changed (longtable) in table 75 on input line 17913. [171 <./inheritance-10b1e18b471febf9f8fe93e1193db25ea8da169e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17920--17920 []\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- [172] ! Dimension too large. \wd \@tempboxa l.18092 ...9828e64e8cfabce656c3e60374e0038c72.pdf} ! Dimension too large. b l.18092 ...9828e64e8cfabce656c3e60374e0038c72.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \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 , [173 <./inheritance-1fb17c9828e64e8cfabce656c3e60374e0038c72.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 76 on input line 18173. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.__init__:evalml.pipelines.components.LightGBMClassifier.__ini t__' on page 174 undefined on input line 18194. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.clone:evalml.pipelines.components.LightGBMClassifier.clone' o n page 174 undefined on input line 18199. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.describe:evalml.pipelines.components.LightGBMClassifier.descr ibe' on page 174 undefined on input line 18204. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.fit:evalml.pipelines.components.LightGBMClassifier.fit' on pa ge 174 undefined on input line 18209. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.load:evalml.pipelines.components.LightGBMClassifier.load' on page 174 undefined on input line 18214. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict:evalml.pipelines.components.LightGBMClassifier.predic t' on page 174 undefined on input line 18219. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.predict_proba:evalml.pipelines.components.LightGBMClassifier. predict_proba' on page 174 undefined on input line 18224. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ightGBMClassifier.save:evalml.pipelines.components.LightGBMClassifier.save' on page 174 undefined on input line 18229. Package longtable Warning: Column widths have changed (longtable) in table 77 on input line 18234. Underfull \hbox (badness 10000) in paragraph at lines 18241--18241 \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 , [174] [175] ! Dimension too large. \wd \@tempboxa l.18413 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} ! Dimension too large. b l.18413 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 78 on input line 18484. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.__init__:evalml.pipelines.components.LogisticRegres sionClassifier.__init__' on page 176 undefined on input line 18505. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.clone:evalml.pipelines.components.LogisticRegressio nClassifier.clone' on page 176 undefined on input line 18510. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.describe:evalml.pipelines.components.LogisticRegres sionClassifier.describe' on page 176 undefined on input line 18515. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.fit:evalml.pipelines.components.LogisticRegressionC lassifier.fit' on page 176 undefined on input line 18520. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.load:evalml.pipelines.components.LogisticRegression Classifier.load' on page 176 undefined on input line 18525. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict:evalml.pipelines.components.LogisticRegress ionClassifier.predict' on page 176 undefined on input line 18530. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.predict_proba:evalml.pipelines.components.LogisticR egressionClassifier.predict_proba' on page 176 undefined on input line 18535. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L ogisticRegressionClassifier.save:evalml.pipelines.components.LogisticRegression Classifier.save' on page 176 undefined on input line 18540. Package longtable Warning: Column widths have changed (longtable) in table 79 on input line 18545. [176 <./inheritance-972c69d940b389fa3396e584ff3afe7fb20275cc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18552--18552 []\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 18552--18552 \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- [177] ! Dimension too large. \wd \@tempboxa l.18724 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} ! Dimension too large. b l.18724 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18728--18728 []\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 18728--18728 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18728--18728 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [178 <./inheritance-9b1c24ca1b95dd3da5ed129a3639fba2a8273408.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 80 on input line 18805. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.__init__:evalml.pipelines.components.XGBoostClassifier.__init_ _' on page 179 undefined on input line 18826. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.clone:evalml.pipelines.components.XGBoostClassifier.clone' on page 179 undefined on input line 18831. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.describe:evalml.pipelines.components.XGBoostClassifier.describ e' on page 179 undefined on input line 18836. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.fit:evalml.pipelines.components.XGBoostClassifier.fit' on page 179 undefined on input line 18841. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.load:evalml.pipelines.components.XGBoostClassifier.load' on pa ge 179 undefined on input line 18846. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict:evalml.pipelines.components.XGBoostClassifier.predict' on page 179 undefined on input line 18851. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.predict_proba:evalml.pipelines.components.XGBoostClassifier.pr edict_proba' on page 179 undefined on input line 18856. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostClassifier.save:evalml.pipelines.components.XGBoostClassifier.save' on pa ge 179 undefined on input line 18861. Package longtable Warning: Column widths have changed (longtable) in table 81 on input line 18866. [179] [180] ! Dimension too large. \wd \@tempboxa l.19045 ...50b69abde46857ee001e566cf1650d5c78.pdf} ! Dimension too large. b l.19045 ...50b69abde46857ee001e566cf1650d5c78.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19049--19049 []\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 82 on input line 19123. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.__init__:evalml.pipelines.components.BaselineClassifier.__ini t__' on page 181 undefined on input line 19144. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.clone:evalml.pipelines.components.BaselineClassifier.clone' o n page 181 undefined on input line 19149. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.describe:evalml.pipelines.components.BaselineClassifier.descr ibe' on page 181 undefined on input line 19154. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.fit:evalml.pipelines.components.BaselineClassifier.fit' on pa ge 181 undefined on input line 19159. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.load:evalml.pipelines.components.BaselineClassifier.load' on page 181 undefined on input line 19164. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict:evalml.pipelines.components.BaselineClassifier.predic t' on page 181 undefined on input line 19169. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.predict_proba:evalml.pipelines.components.BaselineClassifier. predict_proba' on page 181 undefined on input line 19174. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineClassifier.save:evalml.pipelines.components.BaselineClassifier.save' on page 181 undefined on input line 19179. Package longtable Warning: Column widths have changed (longtable) in table 83 on input line 19184. [181 <./inheritance-7ba48e50b69abde46857ee001e566cf1650d5c78.pdf>] [182] LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.CatBoostR egressor:evalml.pipelines.components.CatBoostRegressor' on page 183 undefined o n input line 19394. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ElasticNe tRegressor:evalml.pipelines.components.ElasticNetRegressor' on page 183 undefin ed on input line 19399. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.LinearReg ressor:evalml.pipelines.components.LinearRegressor' on page 183 undefined on in put line 19404. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.ExtraTree sRegressor:evalml.pipelines.components.ExtraTreesRegressor' on page 183 undefin ed on input line 19409. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.RandomFor estRegressor:evalml.pipelines.components.RandomForestRegressor' on page 183 und efined on input line 19414. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.XGBoostRe gressor:evalml.pipelines.components.XGBoostRegressor' on page 183 undefined on input line 19419. LaTeX Warning: Hyper reference `generated/evalml.pipelines.components.BaselineR egressor:evalml.pipelines.components.BaselineRegressor' on page 183 undefined o n input line 19424. Package longtable Warning: Column widths have changed (longtable) in table 84 on input line 19429. [183] ! Dimension too large. \wd \@tempboxa l.19434 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} ! Dimension too large. b l.19434 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19438--19438 []\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 19438--19438 \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 19438--19438 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 85 on input line 19518. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.__init__:evalml.pipelines.components.CatBoostRegressor.__init_ _' on page 184 undefined on input line 19539. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.clone:evalml.pipelines.components.CatBoostRegressor.clone' on page 184 undefined on input line 19544. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.describe:evalml.pipelines.components.CatBoostRegressor.describ e' on page 184 undefined on input line 19549. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.fit:evalml.pipelines.components.CatBoostRegressor.fit' on page 184 undefined on input line 19554. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.load:evalml.pipelines.components.CatBoostRegressor.load' on pa ge 184 undefined on input line 19559. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict:evalml.pipelines.components.CatBoostRegressor.predict' on page 184 undefined on input line 19564. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.predict_proba:evalml.pipelines.components.CatBoostRegressor.pr edict_proba' on page 184 undefined on input line 19569. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.C atBoostRegressor.save:evalml.pipelines.components.CatBoostRegressor.save' on pa ge 184 undefined on input line 19574. Package longtable Warning: Column widths have changed (longtable) in table 86 on input line 19579. Underfull \hbox (badness 10000) in paragraph at lines 19586--19586 []\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 19586--19586 \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 , [184 <./inheritance-5cd67408660c74aa6bd8dd594916bcfb93426e43.pdf>] [185] ! Dimension too large. \wd \@tempboxa l.19758 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} ! Dimension too large. b l.19758 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19762--19762 []\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 19762--19762 \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 19762--19762 \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 , [186 <./inheritance-1aabcff00496e1680b24dc93e964049a0dfe6e8d.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 87 on input line 19829. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.__init__:evalml.pipelines.components.ElasticNetRegressor.__i nit__' on page 187 undefined on input line 19850. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.clone:evalml.pipelines.components.ElasticNetRegressor.clone' on page 187 undefined on input line 19855. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.describe:evalml.pipelines.components.ElasticNetRegressor.des cribe' on page 187 undefined on input line 19860. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.fit:evalml.pipelines.components.ElasticNetRegressor.fit' on page 187 undefined on input line 19865. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.load:evalml.pipelines.components.ElasticNetRegressor.load' o n page 187 undefined on input line 19870. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict:evalml.pipelines.components.ElasticNetRegressor.pred ict' on page 187 undefined on input line 19875. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.predict_proba:evalml.pipelines.components.ElasticNetRegresso r.predict_proba' on page 187 undefined on input line 19880. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E lasticNetRegressor.save:evalml.pipelines.components.ElasticNetRegressor.save' o n page 187 undefined on input line 19885. Package longtable Warning: Column widths have changed (longtable) in table 88 on input line 19890. [187] ! Dimension too large. \wd \@tempboxa l.20069 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} ! Dimension too large. b l.20069 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} [188] Underfull \hbox (badness 10000) in paragraph at lines 20073--20073 []\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 20073--20073 \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 89 on input line 20140. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.__init__:evalml.pipelines.components.LinearRegressor.__init__' o n page 189 undefined on input line 20161. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.clone:evalml.pipelines.components.LinearRegressor.clone' on page 189 undefined on input line 20166. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.describe:evalml.pipelines.components.LinearRegressor.describe' o n page 189 undefined on input line 20171. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.fit:evalml.pipelines.components.LinearRegressor.fit' on page 189 undefined on input line 20176. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.load:evalml.pipelines.components.LinearRegressor.load' on page 1 89 undefined on input line 20181. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict:evalml.pipelines.components.LinearRegressor.predict' on page 189 undefined on input line 20186. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.predict_proba:evalml.pipelines.components.LinearRegressor.predic t_proba' on page 189 undefined on input line 20191. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.L inearRegressor.save:evalml.pipelines.components.LinearRegressor.save' on page 1 89 undefined on input line 20196. Package longtable Warning: Column widths have changed (longtable) in table 90 on input line 20201. [189 <./inheritance-e4c37b6ec41e33e162c6c28509eead7a0fd2e98b.pdf>] [190] ! Dimension too large. \wd \@tempboxa l.20380 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} ! Dimension too large. b l.20380 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Package longtable Warning: Column widths have changed (longtable) in table 91 on input line 20451. [191 <./inheritance-5a38f53ef6334e9c7361cd61656ed9b25064f89d.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.__init__:evalml.pipelines.components.ExtraTreesRegressor.__i nit__' on page 192 undefined on input line 20472. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.clone:evalml.pipelines.components.ExtraTreesRegressor.clone' on page 192 undefined on input line 20477. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.describe:evalml.pipelines.components.ExtraTreesRegressor.des cribe' on page 192 undefined on input line 20482. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.fit:evalml.pipelines.components.ExtraTreesRegressor.fit' on page 192 undefined on input line 20487. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.load:evalml.pipelines.components.ExtraTreesRegressor.load' o n page 192 undefined on input line 20492. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict:evalml.pipelines.components.ExtraTreesRegressor.pred ict' on page 192 undefined on input line 20497. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.predict_proba:evalml.pipelines.components.ExtraTreesRegresso r.predict_proba' on page 192 undefined on input line 20502. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.E xtraTreesRegressor.save:evalml.pipelines.components.ExtraTreesRegressor.save' o n page 192 undefined on input line 20507. Package longtable Warning: Column widths have changed (longtable) in table 92 on input line 20512. Underfull \hbox (badness 10000) in paragraph at lines 20519--20519 []\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 20519--20519 \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 , [192] ! Dimension too large. \wd \@tempboxa l.20691 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} ! Dimension too large. b l.20691 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} [193] Underfull \hbox (badness 10000) in paragraph at lines 20695--20695 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20695--20695 \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 20695--20695 \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 93 on input line 20762. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.__init__:evalml.pipelines.components.RandomForestRegressor .__init__' on page 194 undefined on input line 20783. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.clone:evalml.pipelines.components.RandomForestRegressor.cl one' on page 194 undefined on input line 20788. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.describe:evalml.pipelines.components.RandomForestRegressor .describe' on page 194 undefined on input line 20793. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.fit:evalml.pipelines.components.RandomForestRegressor.fit' on page 194 undefined on input line 20798. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.load:evalml.pipelines.components.RandomForestRegressor.loa d' on page 194 undefined on input line 20803. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict:evalml.pipelines.components.RandomForestRegressor. predict' on page 194 undefined on input line 20808. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.predict_proba:evalml.pipelines.components.RandomForestRegr essor.predict_proba' on page 194 undefined on input line 20813. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.R andomForestRegressor.save:evalml.pipelines.components.RandomForestRegressor.sav e' on page 194 undefined on input line 20818. Package longtable Warning: Column widths have changed (longtable) in table 94 on input line 20823. Underfull \hbox (badness 10000) in paragraph at lines 20830--20830 []\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- [194 <./inheritance-6ecb00b018fc4e79dbf57f4caf352e6e0b613797.pdf>] [195] ! Dimension too large. \wd \@tempboxa l.21002 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} ! Dimension too large. b l.21002 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} Underfull \hbox (badness 10000) in paragraph at lines 21006--21006 []\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 21006--21006 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21006--21006 \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 95 on input line 21083. [196 <./inheritance-b6206847048c1dff2af5d8a008dc2e0a60d99099.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.__init__:evalml.pipelines.components.XGBoostRegressor.__init__' on page 197 undefined on input line 21104. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.clone:evalml.pipelines.components.XGBoostRegressor.clone' on pa ge 197 undefined on input line 21109. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.describe:evalml.pipelines.components.XGBoostRegressor.describe' on page 197 undefined on input line 21114. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.fit:evalml.pipelines.components.XGBoostRegressor.fit' on page 1 97 undefined on input line 21119. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.load:evalml.pipelines.components.XGBoostRegressor.load' on page 197 undefined on input line 21124. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict:evalml.pipelines.components.XGBoostRegressor.predict' o n page 197 undefined on input line 21129. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.predict_proba:evalml.pipelines.components.XGBoostRegressor.pred ict_proba' on page 197 undefined on input line 21134. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.X GBoostRegressor.save:evalml.pipelines.components.XGBoostRegressor.save' on page 197 undefined on input line 21139. Package longtable Warning: Column widths have changed (longtable) in table 96 on input line 21144. [197] ! Dimension too large. \wd \@tempboxa l.21323 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} ! Dimension too large. b l.21323 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} [198] Underfull \hbox (badness 10000) in paragraph at lines 21327--21327 []\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 97 on input line 21396. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.__init__:evalml.pipelines.components.BaselineRegressor.__init_ _' on page 199 undefined on input line 21417. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.clone:evalml.pipelines.components.BaselineRegressor.clone' on page 199 undefined on input line 21422. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.describe:evalml.pipelines.components.BaselineRegressor.describ e' on page 199 undefined on input line 21427. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.fit:evalml.pipelines.components.BaselineRegressor.fit' on page 199 undefined on input line 21432. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.load:evalml.pipelines.components.BaselineRegressor.load' on pa ge 199 undefined on input line 21437. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict:evalml.pipelines.components.BaselineRegressor.predict' on page 199 undefined on input line 21442. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.predict_proba:evalml.pipelines.components.BaselineRegressor.pr edict_proba' on page 199 undefined on input line 21447. LaTeX Warning: Hyper reference `generated/methods/evalml.pipelines.components.B aselineRegressor.save:evalml.pipelines.components.BaselineRegressor.save' on pa ge 199 undefined on input line 21452. Package longtable Warning: Column widths have changed (longtable) in table 98 on input line 21457. [199 <./inheritance-f58b8113ced0e7ec590912a80d708cdd64c63af7.pdf>] [200] LaTeX Warning: Hyper reference `generated/evalml.model_understanding.confusion_ matrix:evalml.model_understanding.confusion_matrix' on page 201 undefined on in put line 21668. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.normalize_ confusion_matrix:evalml.model_understanding.normalize_confusion_matrix' on page 201 undefined on input line 21673. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.precision_ recall_curve:evalml.model_understanding.precision_recall_curve' on page 201 und efined on input line 21678. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_prec ision_recall_curve:evalml.model_understanding.graph_precision_recall_curve' on page 201 undefined on input line 21683. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.roc_curve: evalml.model_understanding.roc_curve' on page 201 undefined on input line 21688 . LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_roc_ curve:evalml.model_understanding.graph_roc_curve' on page 201 undefined on inpu t line 21693. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_conf usion_matrix:evalml.model_understanding.graph_confusion_matrix' on page 201 und efined on input line 21698. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.calculate_ permutation_importance:evalml.model_understanding.calculate_permutation_importa nce' on page 201 undefined on input line 21703. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_perm utation_importance:evalml.model_understanding.graph_permutation_importance' on page 201 undefined on input line 21708. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.binary_obj ective_vs_threshold:evalml.model_understanding.binary_objective_vs_threshold' o n page 201 undefined on input line 21713. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.graph_bina ry_objective_vs_threshold:evalml.model_understanding.graph_binary_objective_vs_ threshold' on page 201 undefined on input line 21718. Package longtable Warning: Column widths have changed (longtable) in table 99 on input line 21723. [201] Underfull \hbox (badness 10000) in paragraph at lines 21730--21730 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 21761--21761 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [202] Overfull \hbox (137.00916pt too wide) in paragraph at lines 21875--21875 [] Underfull \hbox (badness 10000) in paragraph at lines 21875--21875 Overfull \hbox (12.23114pt too wide) in paragraph at lines 21876--21876 [] Underfull \hbox (badness 10000) in paragraph at lines 21876--21876 [203] Underfull \hbox (badness 10000) in paragraph at lines 21909--21909 []\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 21909--21909 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 21940--21940 []\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 21940--21940 \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 21973--21973 \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 21973--21973 \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 204 undefined on input line 21978. [204] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 205 undefined on input line 21987. LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 205 undefined on input line 22019. LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 205 undefined on input line 22028. [205] Underfull \hbox (badness 10000) in paragraph at lines 22088--22088 []\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 22088--22088 \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 206 undefined on input line 22093. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_prediction:evalml.model_understanding.prediction_explanat ions.explain_prediction' on page 206 undefined on input line 22138. LaTeX Warning: Hyper reference `generated/evalml.model_understanding.prediction _explanations.explain_predictions:evalml.model_understanding.prediction_explana tions.explain_predictions' on page 206 undefined on input line 22143. 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 206 undefined on input line 22148. Package longtable Warning: Column widths have changed (longtable) in table 100 on input line 22153. Overfull \hbox (9.96457pt too wide) in paragraph at lines 22160--22160 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 22160--22160 \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 206 undefined on input line 22167. [206] Overfull \hbox (15.96457pt too wide) in paragraph at lines 22201--22201 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 22201--22201 \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 207 undefined on input line 22208. Overfull \hbox (94.49048pt too wide) in paragraph at lines 22231--22233 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 22247--22247 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [207] LaTeX Warning: Hyper reference `generated/evalml.pipelines.PipelineBase:evalml. pipelines.PipelineBase' on page 208 undefined on input line 22254. Overfull \hbox (102.73972pt too wide) in paragraph at lines 22285--22288 [] LaTeX Warning: Hyper reference `generated/evalml.objectives.ObjectiveBase:evalm l.objectives.ObjectiveBase' on page 208 undefined on input line 22321. LaTeX Warning: Hyper reference `generated/evalml.objectives.BinaryClassificatio nObjective:evalml.objectives.BinaryClassificationObjective' on page 208 undefin ed on input line 22326. LaTeX Warning: Hyper reference `generated/evalml.objectives.MulticlassClassific ationObjective:evalml.objectives.MulticlassClassificationObjective' on page 208 undefined on input line 22331. LaTeX Warning: Hyper reference `generated/evalml.objectives.RegressionObjective :evalml.objectives.RegressionObjective' on page 208 undefined on input line 223 36. Package longtable Warning: Column widths have changed (longtable) in table 101 on input line 22341. [208] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.calculate_percent_difference:evalml.objectives.ObjectiveBase.calculate_perce nt_difference' on page 209 undefined on input line 22372. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.objective_function:evalml.objectives.ObjectiveBase.objective_function' on pa ge 209 undefined on input line 22377. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.score:evalml.objectives.ObjectiveBase.score' on page 209 undefined on input line 22382. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ObjectiveBa se.validate_inputs:evalml.objectives.ObjectiveBase.validate_inputs' on page 209 undefined on input line 22387. Package longtable Warning: Column widths have changed (longtable) in table 102 on input line 22392. Overfull \hbox (10.35059pt too wide) in paragraph at lines 22414--22416 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 22434--22434 [] Underfull \hbox (badness 10000) in paragraph at lines 22434--22434 [209 <./inheritance-07c1605e071dab6b69f3ce4747d98a87707cfa44.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.calculate_percent_difference:evalml.objectives.BinaryClassif icationObjective.calculate_percent_difference' on page 210 undefined on input l ine 22540. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.decision_function:evalml.objectives.BinaryClassificationObje ctive.decision_function' on page 210 undefined on input line 22545. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.objective_function:evalml.objectives.BinaryClassificationObj ective.objective_function' on page 210 undefined on input line 22550. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.optimize_threshold:evalml.objectives.BinaryClassificationObj ective.optimize_threshold' on page 210 undefined on input line 22555. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.score:evalml.objectives.BinaryClassificationObjective.score' on page 210 undefined on input line 22560. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BinaryClass ificationObjective.validate_inputs:evalml.objectives.BinaryClassificationObject ive.validate_inputs' on page 210 undefined on input line 22565. [210 <./inheritance-9ed9e93988ef52b829df5d142118754a9b323b5c.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 103 on input line 22570. Overfull \hbox (27.03467pt too wide) in paragraph at lines 22577--22577 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 22577--22577 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 22577--22577 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 22592--22594 [] Underfull \hbox (badness 10000) in paragraph at lines 22611--22611 []\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 22639--22639 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22639--22639 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 22640--22640 [] Underfull \hbox (badness 10000) in paragraph at lines 22640--22640 [211] [212] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.calculate_percent_difference:evalml.objectives.Multiclas sClassificationObjective.calculate_percent_difference' on page 213 undefined on input line 22773. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.objective_function:evalml.objectives.MulticlassClassific ationObjective.objective_function' on page 213 undefined on input line 22778. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.score:evalml.objectives.MulticlassClassificationObjectiv e.score' on page 213 undefined on input line 22783. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MulticlassC lassificationObjective.validate_inputs:evalml.objectives.MulticlassClassificati onObjective.validate_inputs' on page 213 undefined on input line 22788. Package longtable Warning: Column widths have changed (longtable) in table 104 on input line 22793. Overfull \hbox (51.03467pt too wide) in paragraph at lines 22800--22800 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 22800--22800 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 22800--22800 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 22815--22817 [] Underfull \hbox (badness 10000) in paragraph at lines 22834--22834 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 22834--22834 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 22834--22834 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 22835--22835 [] Underfull \hbox (badness 10000) in paragraph at lines 22835--22835 [213 <./inheritance-af479a5adeca365503c354ee58bd45a89f5cb882.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.calculate_percent_difference:evalml.objectives.RegressionObjective.cal culate_percent_difference' on page 214 undefined on input line 22940. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.objective_function:evalml.objectives.RegressionObjective.objective_fun ction' on page 214 undefined on input line 22945. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.score:evalml.objectives.RegressionObjective.score' on page 214 undefin ed on input line 22950. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RegressionO bjective.validate_inputs:evalml.objectives.RegressionObjective.validate_inputs' on page 214 undefined on input line 22955. Package longtable Warning: Column widths have changed (longtable) in table 105 on input line 22960. [214 <./inheritance-d1aea97fb46dc2e14443a25bf91b1064eb23dd02.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22967--22967 []\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 22982--22984 [] Underfull \hbox (badness 10000) in paragraph at lines 23001--23001 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 23002--23002 [] Underfull \hbox (badness 10000) in paragraph at lines 23002--23002 [215] LaTeX Warning: Hyper reference `generated/evalml.objectives.FraudCost:evalml.ob jectives.FraudCost' on page 216 undefined on input line 23097. LaTeX Warning: Hyper reference `generated/evalml.objectives.LeadScoring:evalml. objectives.LeadScoring' on page 216 undefined on input line 23102. LaTeX Warning: Hyper reference `generated/evalml.objectives.CostBenefitMatrix:e valml.objectives.CostBenefitMatrix' on page 216 undefined on input line 23107. Package longtable Warning: Column widths have changed (longtable) in table 106 on input line 23112. Underfull \hbox (badness 10000) in paragraph at lines 23121--23121 []\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 216 undefined on input li ne 23143. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.c alculate_percent_difference:evalml.objectives.FraudCost.calculate_percent_diffe rence' on page 216 undefined on input line 23148. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.d ecision_function:evalml.objectives.FraudCost.decision_function' on page 216 und efined on input line 23153. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o bjective_function:evalml.objectives.FraudCost.objective_function' on page 216 u ndefined on input line 23158. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.o ptimize_threshold:evalml.objectives.FraudCost.optimize_threshold' on page 216 u ndefined on input line 23163. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.s core:evalml.objectives.FraudCost.score' on page 216 undefined on input line 231 68. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.FraudCost.v alidate_inputs:evalml.objectives.FraudCost.validate_inputs' on page 216 undefin ed on input line 23173. Package longtable Warning: Column widths have changed (longtable) in table 107 on input line 23178. [216 <./inheritance-37ae68f2217773e86042770dfe4589b0b1feef6f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23231--23233 [] [217] [218] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .__init__:evalml.objectives.LeadScoring.__init__' on page 219 undefined on inpu t line 23418. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .calculate_percent_difference:evalml.objectives.LeadScoring.calculate_percent_d ifference' on page 219 undefined on input line 23423. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .decision_function:evalml.objectives.LeadScoring.decision_function' on page 219 undefined on input line 23428. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .objective_function:evalml.objectives.LeadScoring.objective_function' on page 2 19 undefined on input line 23433. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .optimize_threshold:evalml.objectives.LeadScoring.optimize_threshold' on page 2 19 undefined on input line 23438. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .score:evalml.objectives.LeadScoring.score' on page 219 undefined on input line 23443. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LeadScoring .validate_inputs:evalml.objectives.LeadScoring.validate_inputs' on page 219 und efined on input line 23448. Package longtable Warning: Column widths have changed (longtable) in table 108 on input line 23453. Overfull \hbox (10.35059pt too wide) in paragraph at lines 23497--23499 [] [219 <./inheritance-acafd40fec2fed6a4b735783d2ee7f4ac9c19b9c.pdf>] [220] Underfull \hbox (badness 10000) in paragraph at lines 23661--23661 []\T1/ptm/m/it/10 true_positive\T1/ptm/m/n/10 , \T1/ptm/m/it/10 true_negative\T 1/ptm/m/n/10 , \T1/ptm/m/it/10 false_positive\T1/ptm/m/n/10 , LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.__init__:evalml.objectives.CostBenefitMatrix.__init__' on page 221 undef ined on input line 23685. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.calculate_percent_difference:evalml.objectives.CostBenefitMatrix.calcula te_percent_difference' on page 221 undefined on input line 23690. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.decision_function:evalml.objectives.CostBenefitMatrix.decision_function' on page 221 undefined on input line 23695. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.objective_function:evalml.objectives.CostBenefitMatrix.objective_functio n' on page 221 undefined on input line 23700. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.optimize_threshold:evalml.objectives.CostBenefitMatrix.optimize_threshol d' on page 221 undefined on input line 23705. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.score:evalml.objectives.CostBenefitMatrix.score' on page 221 undefined o n input line 23710. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.CostBenefit Matrix.validate_inputs:evalml.objectives.CostBenefitMatrix.validate_inputs' on page 221 undefined on input line 23715. Package longtable Warning: Column widths have changed (longtable) in table 109 on input line 23720. [221 <./inheritance-983079748ef7532b70b5ba7a08be9e750a99ee85.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23755--23755 []\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 23770--23772 [] [222] LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyBinary:eval ml.objectives.AccuracyBinary' on page 223 undefined on input line 23948. LaTeX Warning: Hyper reference `generated/evalml.objectives.AccuracyMulticlass: evalml.objectives.AccuracyMulticlass' on page 223 undefined on input line 23953 . LaTeX Warning: Hyper reference `generated/evalml.objectives.AUC:evalml.objectiv es.AUC' on page 223 undefined on input line 23958. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMacro:evalml.obj ectives.AUCMacro' on page 223 undefined on input line 23963. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCMicro:evalml.obj ectives.AUCMicro' on page 223 undefined on input line 23968. LaTeX Warning: Hyper reference `generated/evalml.objectives.AUCWeighted:evalml. objectives.AUCWeighted' on page 223 undefined on input line 23973. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyBin ary:evalml.objectives.BalancedAccuracyBinary' on page 223 undefined on input li ne 23978. LaTeX Warning: Hyper reference `generated/evalml.objectives.BalancedAccuracyMul ticlass:evalml.objectives.BalancedAccuracyMulticlass' on page 223 undefined on input line 23983. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1:evalml.objective s.F1' on page 223 undefined on input line 23988. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Micro:evalml.obje ctives.F1Micro' on page 223 undefined on input line 23993. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Macro:evalml.obje ctives.F1Macro' on page 223 undefined on input line 23998. LaTeX Warning: Hyper reference `generated/evalml.objectives.F1Weighted:evalml.o bjectives.F1Weighted' on page 223 undefined on input line 24003. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossBinary:evalm l.objectives.LogLossBinary' on page 223 undefined on input line 24008. LaTeX Warning: Hyper reference `generated/evalml.objectives.LogLossMulticlass:e valml.objectives.LogLossMulticlass' on page 223 undefined on input line 24013. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCBinary:evalml.ob jectives.MCCBinary' on page 223 undefined on input line 24018. LaTeX Warning: Hyper reference `generated/evalml.objectives.MCCMulticlass:evalm l.objectives.MCCMulticlass' on page 223 undefined on input line 24023. LaTeX Warning: Hyper reference `generated/evalml.objectives.Precision:evalml.ob jectives.Precision' on page 223 undefined on input line 24028. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMicro:eval ml.objectives.PrecisionMicro' on page 223 undefined on input line 24033. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionMacro:eval ml.objectives.PrecisionMacro' on page 223 undefined on input line 24038. LaTeX Warning: Hyper reference `generated/evalml.objectives.PrecisionWeighted:e valml.objectives.PrecisionWeighted' on page 223 undefined on input line 24043. [223] LaTeX Warning: Hyper reference `generated/evalml.objectives.Recall:evalml.objec tives.Recall' on page 224 undefined on input line 24048. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMicro:evalml. objectives.RecallMicro' on page 224 undefined on input line 24053. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallMacro:evalml. objectives.RecallMacro' on page 224 undefined on input line 24058. LaTeX Warning: Hyper reference `generated/evalml.objectives.RecallWeighted:eval ml.objectives.RecallWeighted' on page 224 undefined on input line 24063. Package longtable Warning: Column widths have changed (longtable) in table 110 on input line 24068. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.calculate_percent_difference:evalml.objectives.AccuracyBinary.calculate_per cent_difference' on page 224 undefined on input line 24099. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.decision_function:evalml.objectives.AccuracyBinary.decision_function' on pa ge 224 undefined on input line 24104. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.objective_function:evalml.objectives.AccuracyBinary.objective_function' on page 224 undefined on input line 24109. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.optimize_threshold:evalml.objectives.AccuracyBinary.optimize_threshold' on page 224 undefined on input line 24114. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.score:evalml.objectives.AccuracyBinary.score' on page 224 undefined on inpu t line 24119. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyBin ary.validate_inputs:evalml.objectives.AccuracyBinary.validate_inputs' on page 2 24 undefined on input line 24124. [224 <./inheritance-ec1479676a57e8519c9eb8f387640b150f34caf4.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 111 on input line 24129. Underfull \hbox (badness 10000) in paragraph at lines 24136--24136 []\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 24151--24153 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24199--24199 [] Underfull \hbox (badness 10000) in paragraph at lines 24199--24199 [225] ! Dimension too large. \wd \@tempboxa l.24304 ...6795fcd491d082224bc7fb747a910411e3.pdf} ! Dimension too large. b l.24304 ...6795fcd491d082224bc7fb747a910411e3.pdf} [226] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.calculate_percent_difference:evalml.objectives.AccuracyMulticlass.calcu late_percent_difference' on page 227 undefined on input line 24330. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.objective_function:evalml.objectives.AccuracyMulticlass.objective_funct ion' on page 227 undefined on input line 24335. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.score:evalml.objectives.AccuracyMulticlass.score' on page 227 undefined on input line 24340. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AccuracyMul ticlass.validate_inputs:evalml.objectives.AccuracyMulticlass.validate_inputs' o n page 227 undefined on input line 24345. Package longtable Warning: Column widths have changed (longtable) in table 112 on input line 24350. Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , \T1/ptm/m/it/10 base- Overfull \hbox (10.35059pt too wide) in paragraph at lines 24372--24374 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24392--24392 [] Underfull \hbox (badness 10000) in paragraph at lines 24392--24392 [227 <./inheritance-e0055e6795fcd491d082224bc7fb747a910411e3.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.calcula te_percent_difference:evalml.objectives.AUC.calculate_percent_difference' on pa ge 228 undefined on input line 24495. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.decisio n_function:evalml.objectives.AUC.decision_function' on page 228 undefined on in put line 24500. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.objecti ve_function:evalml.objectives.AUC.objective_function' on page 228 undefined on input line 24505. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.optimiz e_threshold:evalml.objectives.AUC.optimize_threshold' on page 228 undefined on input line 24510. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.score:e valml.objectives.AUC.score' on page 228 undefined on input line 24515. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUC.validat e_inputs:evalml.objectives.AUC.validate_inputs' on page 228 undefined on input line 24520. Package longtable Warning: Column widths have changed (longtable) in table 113 on input line 24525. [228 <./inheritance-4c48a4eef2a4d40da4258ccd38c5d2ab1867e9e9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24547--24549 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24595--24595 [] Underfull \hbox (badness 10000) in paragraph at lines 24595--24595 [229] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ca lculate_percent_difference:evalml.objectives.AUCMacro.calculate_percent_differe nce' on page 230 undefined on input line 24726. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.ob jective_function:evalml.objectives.AUCMacro.objective_function' on page 230 und efined on input line 24731. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.sc ore:evalml.objectives.AUCMacro.score' on page 230 undefined on input line 24736 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMacro.va lidate_inputs:evalml.objectives.AUCMacro.validate_inputs' on page 230 undefined on input line 24741. Package longtable Warning: Column widths have changed (longtable) in table 114 on input line 24746. [230 <./inheritance-e1caeceeef3a69f09556727470cefabd2f3db152.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24768--24770 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24788--24788 [] Underfull \hbox (badness 10000) in paragraph at lines 24788--24788 [231] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ca lculate_percent_difference:evalml.objectives.AUCMicro.calculate_percent_differe nce' on page 232 undefined on input line 24891. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.ob jective_function:evalml.objectives.AUCMicro.objective_function' on page 232 und efined on input line 24896. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.sc ore:evalml.objectives.AUCMicro.score' on page 232 undefined on input line 24901 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCMicro.va lidate_inputs:evalml.objectives.AUCMicro.validate_inputs' on page 232 undefined on input line 24906. Package longtable Warning: Column widths have changed (longtable) in table 115 on input line 24911. Overfull \hbox (10.35059pt too wide) in paragraph at lines 24933--24935 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24953--24953 [] Underfull \hbox (badness 10000) in paragraph at lines 24953--24953 [232 <./inheritance-24c8292409e1445cdb6845a52382212d7e92c01e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .calculate_percent_difference:evalml.objectives.AUCWeighted.calculate_percent_d ifference' on page 233 undefined on input line 25056. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .objective_function:evalml.objectives.AUCWeighted.objective_function' on page 2 33 undefined on input line 25061. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .score:evalml.objectives.AUCWeighted.score' on page 233 undefined on input line 25066. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.AUCWeighted .validate_inputs:evalml.objectives.AUCWeighted.validate_inputs' on page 233 und efined on input line 25071. Package longtable Warning: Column widths have changed (longtable) in table 116 on input line 25076. [233 <./inheritance-5ab894cffd2fa556ae008811ab2180a77bad0f28.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25098--25100 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25118--25118 [] Underfull \hbox (badness 10000) in paragraph at lines 25118--25118 [234] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.calculate_percent_difference:evalml.objectives.BalancedAccuracyBina ry.calculate_percent_difference' on page 235 undefined on input line 25221. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.decision_function:evalml.objectives.BalancedAccuracyBinary.decision _function' on page 235 undefined on input line 25226. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.objective_function:evalml.objectives.BalancedAccuracyBinary.objecti ve_function' on page 235 undefined on input line 25231. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.optimize_threshold:evalml.objectives.BalancedAccuracyBinary.optimiz e_threshold' on page 235 undefined on input line 25236. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.score:evalml.objectives.BalancedAccuracyBinary.score' on page 235 u ndefined on input line 25241. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyBinary.validate_inputs:evalml.objectives.BalancedAccuracyBinary.validate_i nputs' on page 235 undefined on input line 25246. Package longtable Warning: Column widths have changed (longtable) in table 117 on input line 25251. Underfull \hbox (badness 10000) in paragraph at lines 25258--25258 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25258--25258 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 25258--25258 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25273--25275 [] [235 <./inheritance-c1084573efaa43564fa1ae07f46d25cc8f963757.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25321--25321 [] Underfull \hbox (badness 10000) in paragraph at lines 25321--25321 [236] ! Dimension too large. \wd \@tempboxa l.25426 ...7879159773146f810da5d5980ce6282233.pdf} ! Dimension too large. b l.25426 ...7879159773146f810da5d5980ce6282233.pdf} LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.calculate_percent_difference:evalml.objectives.BalancedAccuracy Multiclass.calculate_percent_difference' on page 237 undefined on input line 25 452. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.objective_function:evalml.objectives.BalancedAccuracyMulticlass .objective_function' on page 237 undefined on input line 25457. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.score:evalml.objectives.BalancedAccuracyMulticlass.score' on pa ge 237 undefined on input line 25462. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.BalancedAcc uracyMulticlass.validate_inputs:evalml.objectives.BalancedAccuracyMulticlass.va lidate_inputs' on page 237 undefined on input line 25467. Package longtable Warning: Column widths have changed (longtable) in table 118 on input line 25472. Overfull \hbox (9.03467pt too wide) in paragraph at lines 25479--25479 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 25479--25479 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 25479--25479 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [237 <./inheritance-0997337879159773146f810da5d5980ce6282233.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25494--25496 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25514--25514 [] Underfull \hbox (badness 10000) in paragraph at lines 25514--25514 [238] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.calculat e_percent_difference:evalml.objectives.F1.calculate_percent_difference' on page 239 undefined on input line 25617. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.decision _function:evalml.objectives.F1.decision_function' on page 239 undefined on inpu t line 25622. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.objectiv e_function:evalml.objectives.F1.objective_function' on page 239 undefined on in put line 25627. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.optimize _threshold:evalml.objectives.F1.optimize_threshold' on page 239 undefined on in put line 25632. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.score:ev alml.objectives.F1.score' on page 239 undefined on input line 25637. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1.validate _inputs:evalml.objectives.F1.validate_inputs' on page 239 undefined on input li ne 25642. Package longtable Warning: Column widths have changed (longtable) in table 119 on input line 25647. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25669--25671 [] [239 <./inheritance-8758bd0939b729a22a0252b57e36eedfb539fd07.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25717--25717 [] Underfull \hbox (badness 10000) in paragraph at lines 25717--25717 [240] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.cal culate_percent_difference:evalml.objectives.F1Micro.calculate_percent_differenc e' on page 241 undefined on input line 25848. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.obj ective_function:evalml.objectives.F1Micro.objective_function' on page 241 undef ined on input line 25853. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.sco re:evalml.objectives.F1Micro.score' on page 241 undefined on input line 25858. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Micro.val idate_inputs:evalml.objectives.F1Micro.validate_inputs' on page 241 undefined o n input line 25863. Package longtable Warning: Column widths have changed (longtable) in table 120 on input line 25868. Overfull \hbox (10.35059pt too wide) in paragraph at lines 25890--25892 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25910--25910 [] Underfull \hbox (badness 10000) in paragraph at lines 25910--25910 [241 <./inheritance-9b7f63219afca5e90c0726d96b6a998074c6a421.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.cal culate_percent_difference:evalml.objectives.F1Macro.calculate_percent_differenc e' on page 242 undefined on input line 26013. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.obj ective_function:evalml.objectives.F1Macro.objective_function' on page 242 undef ined on input line 26018. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.sco re:evalml.objectives.F1Macro.score' on page 242 undefined on input line 26023. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Macro.val idate_inputs:evalml.objectives.F1Macro.validate_inputs' on page 242 undefined o n input line 26028. Package longtable Warning: Column widths have changed (longtable) in table 121 on input line 26033. [242 <./inheritance-9f8ecc7da295adf9c012b4fdbcb3f8a3130de2f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26055--26057 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26075--26075 [] Underfull \hbox (badness 10000) in paragraph at lines 26075--26075 [243] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. calculate_percent_difference:evalml.objectives.F1Weighted.calculate_percent_dif ference' on page 244 undefined on input line 26178. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. objective_function:evalml.objectives.F1Weighted.objective_function' on page 244 undefined on input line 26183. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. score:evalml.objectives.F1Weighted.score' on page 244 undefined on input line 2 6188. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.F1Weighted. validate_inputs:evalml.objectives.F1Weighted.validate_inputs' on page 244 undef ined on input line 26193. Package longtable Warning: Column widths have changed (longtable) in table 122 on input line 26198. Overfull \hbox (10.35059pt too wide) in paragraph at lines 26220--26222 [] [244 <./inheritance-ed58abc1c06f54edc851bc2bde703b2e6309d862.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26240--26240 [] Underfull \hbox (badness 10000) in paragraph at lines 26240--26240 LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.calculate_percent_difference:evalml.objectives.LogLossBinary.calculate_perce nt_difference' on page 245 undefined on input line 26343. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.decision_function:evalml.objectives.LogLossBinary.decision_function' on page 245 undefined on input line 26348. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.objective_function:evalml.objectives.LogLossBinary.objective_function' on pa ge 245 undefined on input line 26353. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.optimize_threshold:evalml.objectives.LogLossBinary.optimize_threshold' on pa ge 245 undefined on input line 26358. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.score:evalml.objectives.LogLossBinary.score' on page 245 undefined on input line 26363. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossBina ry.validate_inputs:evalml.objectives.LogLossBinary.validate_inputs' on page 245 undefined on input line 26368. [245 <./inheritance-fa116752dcae6d5557b39b7b054021fa94048e51.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 123 on input line 26373. 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 [246] [247] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.calculate_percent_difference:evalml.objectives.LogLossMulticlass.calcula te_percent_difference' on page 248 undefined on input line 26574. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.objective_function:evalml.objectives.LogLossMulticlass.objective_functio n' on page 248 undefined on input line 26579. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.score:evalml.objectives.LogLossMulticlass.score' on page 248 undefined o n input line 26584. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.LogLossMult iclass.validate_inputs:evalml.objectives.LogLossMulticlass.validate_inputs' on page 248 undefined on input line 26589. Package longtable Warning: Column widths have changed (longtable) in table 124 on input line 26594. Underfull \hbox (badness 10000) in paragraph at lines 26601--26601 []\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 26616--26618 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26636--26636 [] Underfull \hbox (badness 10000) in paragraph at lines 26636--26636 [248 <./inheritance-f5288b1dc0d3c0c5d26ad685194e4c34e681000a.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.c alculate_percent_difference:evalml.objectives.MCCBinary.calculate_percent_diffe rence' on page 249 undefined on input line 26739. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.d ecision_function:evalml.objectives.MCCBinary.decision_function' on page 249 und efined on input line 26744. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o bjective_function:evalml.objectives.MCCBinary.objective_function' on page 249 u ndefined on input line 26749. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.o ptimize_threshold:evalml.objectives.MCCBinary.optimize_threshold' on page 249 u ndefined on input line 26754. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.s core:evalml.objectives.MCCBinary.score' on page 249 undefined on input line 267 59. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCBinary.v alidate_inputs:evalml.objectives.MCCBinary.validate_inputs' on page 249 undefin ed on input line 26764. Package longtable Warning: Column widths have changed (longtable) in table 125 on input line 26769. [249 <./inheritance-660a3479d904c386ef19366214bac9b61d45e64b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26791--26793 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26839--26839 [] Underfull \hbox (badness 10000) in paragraph at lines 26839--26839 [250] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.calculate_percent_difference:evalml.objectives.MCCMulticlass.calculate_perce nt_difference' on page 251 undefined on input line 26970. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.objective_function:evalml.objectives.MCCMulticlass.objective_function' on pa ge 251 undefined on input line 26975. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.score:evalml.objectives.MCCMulticlass.score' on page 251 undefined on input line 26980. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MCCMulticla ss.validate_inputs:evalml.objectives.MCCMulticlass.validate_inputs' on page 251 undefined on input line 26985. Package longtable Warning: Column widths have changed (longtable) in table 126 on input line 26990. [251 <./inheritance-1bb81c65d28feccfe3174d5bc621c556342230d7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27012--27014 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27032--27032 [] Underfull \hbox (badness 10000) in paragraph at lines 27032--27032 [252] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.c alculate_percent_difference:evalml.objectives.Precision.calculate_percent_diffe rence' on page 253 undefined on input line 27135. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.d ecision_function:evalml.objectives.Precision.decision_function' on page 253 und efined on input line 27140. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o bjective_function:evalml.objectives.Precision.objective_function' on page 253 u ndefined on input line 27145. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.o ptimize_threshold:evalml.objectives.Precision.optimize_threshold' on page 253 u ndefined on input line 27150. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.s core:evalml.objectives.Precision.score' on page 253 undefined on input line 271 55. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Precision.v alidate_inputs:evalml.objectives.Precision.validate_inputs' on page 253 undefin ed on input line 27160. Package longtable Warning: Column widths have changed (longtable) in table 127 on input line 27165. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27187--27189 [] [253 <./inheritance-0a82146073bf0cb6f4ffb1a1bbfc6b0b93b9ce32.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27235--27235 [] Underfull \hbox (badness 10000) in paragraph at lines 27235--27235 [254] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.calculate_percent_difference:evalml.objectives.PrecisionMicro.calculate_per cent_difference' on page 255 undefined on input line 27366. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.objective_function:evalml.objectives.PrecisionMicro.objective_function' on page 255 undefined on input line 27371. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.score:evalml.objectives.PrecisionMicro.score' on page 255 undefined on inpu t line 27376. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMi cro.validate_inputs:evalml.objectives.PrecisionMicro.validate_inputs' on page 2 55 undefined on input line 27381. Package longtable Warning: Column widths have changed (longtable) in table 128 on input line 27386. Underfull \hbox (badness 10000) in paragraph at lines 27393--27393 []\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 27408--27410 [] [255 <./inheritance-c6fe7a9e1ccce3dd2db3e89f4907d83734efaa28.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27428--27428 [] Underfull \hbox (badness 10000) in paragraph at lines 27428--27428 [256 <./inheritance-ac7be532b2cdc0b1842f38b464b6d0942c6d5702.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.calculate_percent_difference:evalml.objectives.PrecisionMacro.calculate_per cent_difference' on page 257 undefined on input line 27531. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.objective_function:evalml.objectives.PrecisionMacro.objective_function' on page 257 undefined on input line 27536. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.score:evalml.objectives.PrecisionMacro.score' on page 257 undefined on inpu t line 27541. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionMa cro.validate_inputs:evalml.objectives.PrecisionMacro.validate_inputs' on page 2 57 undefined on input line 27546. Package longtable Warning: Column widths have changed (longtable) in table 129 on input line 27551. Underfull \hbox (badness 10000) in paragraph at lines 27558--27558 []\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 27573--27575 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27593--27593 [] Underfull \hbox (badness 10000) in paragraph at lines 27593--27593 [257] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.calculate_percent_difference:evalml.objectives.PrecisionWeighted.calcula te_percent_difference' on page 258 undefined on input line 27696. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.objective_function:evalml.objectives.PrecisionWeighted.objective_functio n' on page 258 undefined on input line 27701. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.score:evalml.objectives.PrecisionWeighted.score' on page 258 undefined o n input line 27706. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.PrecisionWe ighted.validate_inputs:evalml.objectives.PrecisionWeighted.validate_inputs' on page 258 undefined on input line 27711. Package longtable Warning: Column widths have changed (longtable) in table 130 on input line 27716. Underfull \hbox (badness 10000) in paragraph at lines 27723--27723 []\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 27738--27740 [] [258 <./inheritance-3d24e0619b3facedc2f2547c9917f2719cc4e1e0.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27758--27758 [] Underfull \hbox (badness 10000) in paragraph at lines 27758--27758 [259 <./inheritance-354924292793055163636a33f56479aefb231368.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.calc ulate_percent_difference:evalml.objectives.Recall.calculate_percent_difference' on page 260 undefined on input line 27861. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.deci sion_function:evalml.objectives.Recall.decision_function' on page 260 undefined on input line 27866. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.obje ctive_function:evalml.objectives.Recall.objective_function' on page 260 undefin ed on input line 27871. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.opti mize_threshold:evalml.objectives.Recall.optimize_threshold' on page 260 undefin ed on input line 27876. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.scor e:evalml.objectives.Recall.score' on page 260 undefined on input line 27881. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.Recall.vali date_inputs:evalml.objectives.Recall.validate_inputs' on page 260 undefined on input line 27886. Package longtable Warning: Column widths have changed (longtable) in table 131 on input line 27891. Overfull \hbox (10.35059pt too wide) in paragraph at lines 27913--27915 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27961--27961 [] Underfull \hbox (badness 10000) in paragraph at lines 27961--27961 [260] [261] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .calculate_percent_difference:evalml.objectives.RecallMicro.calculate_percent_d ifference' on page 262 undefined on input line 28092. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .objective_function:evalml.objectives.RecallMicro.objective_function' on page 2 62 undefined on input line 28097. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .score:evalml.objectives.RecallMicro.score' on page 262 undefined on input line 28102. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMicro .validate_inputs:evalml.objectives.RecallMicro.validate_inputs' on page 262 und efined on input line 28107. Package longtable Warning: Column widths have changed (longtable) in table 132 on input line 28112. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28134--28136 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28154--28154 [] Underfull \hbox (badness 10000) in paragraph at lines 28154--28154 [262 <./inheritance-468bde00b99ea354efb5a7810fac41db6069fb5e.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .calculate_percent_difference:evalml.objectives.RecallMacro.calculate_percent_d ifference' on page 263 undefined on input line 28257. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .objective_function:evalml.objectives.RecallMacro.objective_function' on page 2 63 undefined on input line 28262. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .score:evalml.objectives.RecallMacro.score' on page 263 undefined on input line 28267. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallMacro .validate_inputs:evalml.objectives.RecallMacro.validate_inputs' on page 263 und efined on input line 28272. Package longtable Warning: Column widths have changed (longtable) in table 133 on input line 28277. [263 <./inheritance-dad27b24eaaae2d6ed8da7cfd9ef96062c303124.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28299--28301 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28319--28319 [] Underfull \hbox (badness 10000) in paragraph at lines 28319--28319 [264] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.calculate_percent_difference:evalml.objectives.RecallWeighted.calculate_per cent_difference' on page 265 undefined on input line 28422. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.objective_function:evalml.objectives.RecallWeighted.objective_function' on page 265 undefined on input line 28427. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.score:evalml.objectives.RecallWeighted.score' on page 265 undefined on inpu t line 28432. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RecallWeigh ted.validate_inputs:evalml.objectives.RecallWeighted.validate_inputs' on page 2 65 undefined on input line 28437. Package longtable Warning: Column widths have changed (longtable) in table 134 on input line 28442. Underfull \hbox (badness 10000) in paragraph at lines 28449--28449 []\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 28464--28466 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28484--28484 [] Underfull \hbox (badness 10000) in paragraph at lines 28484--28484 [265 <./inheritance-36f033894018f28005f000e716a8e91edb6821a2.pdf>] LaTeX Warning: Hyper reference `generated/evalml.objectives.R2:evalml.objective s.R2' on page 266 undefined on input line 28579. LaTeX Warning: Hyper reference `generated/evalml.objectives.MAE:evalml.objectiv es.MAE' on page 266 undefined on input line 28584. LaTeX Warning: Hyper reference `generated/evalml.objectives.MSE:evalml.objectiv es.MSE' on page 266 undefined on input line 28589. LaTeX Warning: Hyper reference `generated/evalml.objectives.MeanSquaredLogError :evalml.objectives.MeanSquaredLogError' on page 266 undefined on input line 285 94. LaTeX Warning: Hyper reference `generated/evalml.objectives.MedianAE:evalml.obj ectives.MedianAE' on page 266 undefined on input line 28599. LaTeX Warning: Hyper reference `generated/evalml.objectives.MaxError:evalml.obj ectives.MaxError' on page 266 undefined on input line 28604. LaTeX Warning: Hyper reference `generated/evalml.objectives.ExpVariance:evalml. objectives.ExpVariance' on page 266 undefined on input line 28609. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredErro r:evalml.objectives.RootMeanSquaredError' on page 266 undefined on input line 2 8614. LaTeX Warning: Hyper reference `generated/evalml.objectives.RootMeanSquaredLogE rror:evalml.objectives.RootMeanSquaredLogError' on page 266 undefined on input line 28619. Package longtable Warning: Column widths have changed (longtable) in table 135 on input line 28624. [266 <./inheritance-88c087e0b0c8cf04d6d68f223cd77d8eb19c6112.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.calculat e_percent_difference:evalml.objectives.R2.calculate_percent_difference' on page 267 undefined on input line 28655. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.objectiv e_function:evalml.objectives.R2.objective_function' on page 267 undefined on in put line 28660. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.score:ev alml.objectives.R2.score' on page 267 undefined on input line 28665. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.R2.validate _inputs:evalml.objectives.R2.validate_inputs' on page 267 undefined on input li ne 28670. Package longtable Warning: Column widths have changed (longtable) in table 136 on input line 28675. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28697--28699 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28717--28717 [] Underfull \hbox (badness 10000) in paragraph at lines 28717--28717 [267] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.calcula te_percent_difference:evalml.objectives.MAE.calculate_percent_difference' on pa ge 268 undefined on input line 28820. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.objecti ve_function:evalml.objectives.MAE.objective_function' on page 268 undefined on input line 28825. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.score:e valml.objectives.MAE.score' on page 268 undefined on input line 28830. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MAE.validat e_inputs:evalml.objectives.MAE.validate_inputs' on page 268 undefined on input line 28835. Package longtable Warning: Column widths have changed (longtable) in table 137 on input line 28840. Overfull \hbox (10.35059pt too wide) in paragraph at lines 28862--28864 [] [268 <./inheritance-573a98b5538bb382f0c340507beffabe55206907.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28882--28882 [] Underfull \hbox (badness 10000) in paragraph at lines 28882--28882 [269 <./inheritance-9c8edc5a96ae550aec0bdf3c480c16441986fe81.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.calcula te_percent_difference:evalml.objectives.MSE.calculate_percent_difference' on pa ge 270 undefined on input line 28985. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.objecti ve_function:evalml.objectives.MSE.objective_function' on page 270 undefined on input line 28990. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.score:e valml.objectives.MSE.score' on page 270 undefined on input line 28995. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MSE.validat e_inputs:evalml.objectives.MSE.validate_inputs' on page 270 undefined on input line 29000. Package longtable Warning: Column widths have changed (longtable) in table 138 on input line 29005. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29027--29029 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29047--29047 [] Underfull \hbox (badness 10000) in paragraph at lines 29047--29047 [270] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.calculate_percent_difference:evalml.objectives.MeanSquaredLogError.cal culate_percent_difference' on page 271 undefined on input line 29152. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.objective_function:evalml.objectives.MeanSquaredLogError.objective_fun ction' on page 271 undefined on input line 29157. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.score:evalml.objectives.MeanSquaredLogError.score' on page 271 undefin ed on input line 29162. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MeanSquared LogError.validate_inputs:evalml.objectives.MeanSquaredLogError.validate_inputs' on page 271 undefined on input line 29167. Package longtable Warning: Column widths have changed (longtable) in table 139 on input line 29172. Underfull \hbox (badness 10000) in paragraph at lines 29179--29179 []\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 29194--29196 [] [271 <./inheritance-0610dba8b00437887923347e52070007820b9b74.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29214--29214 [] Underfull \hbox (badness 10000) in paragraph at lines 29214--29214 [272 <./inheritance-0aa1e63f6b1fbda5d575c91a8fea9cee78fa2a6b.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ca lculate_percent_difference:evalml.objectives.MedianAE.calculate_percent_differe nce' on page 273 undefined on input line 29317. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.ob jective_function:evalml.objectives.MedianAE.objective_function' on page 273 und efined on input line 29322. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.sc ore:evalml.objectives.MedianAE.score' on page 273 undefined on input line 29327 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MedianAE.va lidate_inputs:evalml.objectives.MedianAE.validate_inputs' on page 273 undefined on input line 29332. Package longtable Warning: Column widths have changed (longtable) in table 140 on input line 29337. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29359--29361 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29379--29379 [] Underfull \hbox (badness 10000) in paragraph at lines 29379--29379 [273] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ca lculate_percent_difference:evalml.objectives.MaxError.calculate_percent_differe nce' on page 274 undefined on input line 29482. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.ob jective_function:evalml.objectives.MaxError.objective_function' on page 274 und efined on input line 29487. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.sc ore:evalml.objectives.MaxError.score' on page 274 undefined on input line 29492 . LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.MaxError.va lidate_inputs:evalml.objectives.MaxError.validate_inputs' on page 274 undefined on input line 29497. Package longtable Warning: Column widths have changed (longtable) in table 141 on input line 29502. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29524--29526 [] [274 <./inheritance-45cd3b808dbcf97606efe92272453816698fc213.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29544--29544 [] Underfull \hbox (badness 10000) in paragraph at lines 29544--29544 [275 <./inheritance-6b580afbd560f64ab65a227b35d3832ab50ce7f8.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .calculate_percent_difference:evalml.objectives.ExpVariance.calculate_percent_d ifference' on page 276 undefined on input line 29647. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .objective_function:evalml.objectives.ExpVariance.objective_function' on page 2 76 undefined on input line 29652. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .score:evalml.objectives.ExpVariance.score' on page 276 undefined on input line 29657. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.ExpVariance .validate_inputs:evalml.objectives.ExpVariance.validate_inputs' on page 276 und efined on input line 29662. Package longtable Warning: Column widths have changed (longtable) in table 142 on input line 29667. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29689--29691 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29709--29709 [] Underfull \hbox (badness 10000) in paragraph at lines 29709--29709 [276] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.calculate_percent_difference:evalml.objectives.RootMeanSquaredError.c alculate_percent_difference' on page 277 undefined on input line 29812. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.objective_function:evalml.objectives.RootMeanSquaredError.objective_f unction' on page 277 undefined on input line 29817. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.score:evalml.objectives.RootMeanSquaredError.score' on page 277 undef ined on input line 29822. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredError.validate_inputs:evalml.objectives.RootMeanSquaredError.validate_input s' on page 277 undefined on input line 29827. Package longtable Warning: Column widths have changed (longtable) in table 143 on input line 29832. Overfull \hbox (10.35059pt too wide) in paragraph at lines 29854--29856 [] [277 <./inheritance-ba517e93eedf1d18ade17888fb9f4c330277dc96.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29874--29874 [] Underfull \hbox (badness 10000) in paragraph at lines 29874--29874 [278 <./inheritance-32d2de89f420ff5ea5bda37c2c266e21af437526.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.calculate_percent_difference:evalml.objectives.RootMeanSquaredLogE rror.calculate_percent_difference' on page 279 undefined on input line 29979. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.objective_function:evalml.objectives.RootMeanSquaredLogError.objec tive_function' on page 279 undefined on input line 29984. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.score:evalml.objectives.RootMeanSquaredLogError.score' on page 279 undefined on input line 29989. LaTeX Warning: Hyper reference `generated/methods/evalml.objectives.RootMeanSqu aredLogError.validate_inputs:evalml.objectives.RootMeanSquaredLogError.validate _inputs' on page 279 undefined on input line 29994. Package longtable Warning: Column widths have changed (longtable) in table 144 on input line 29999. Underfull \hbox (badness 10000) in paragraph at lines 30006--30006 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30006--30006 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 30006--30006 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30021--30023 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30041--30041 [] Underfull \hbox (badness 10000) in paragraph at lines 30041--30041 [279] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 280 undefined on input line 30136. Package longtable Warning: Column widths have changed (longtable) in table 145 on input line 30141. LaTeX Warning: Hyper reference `generated/evalml.problem_types.handle_problem_t ypes:evalml.problem_types.handle_problem_types' on page 280 undefined on input line 30174. LaTeX Warning: Hyper reference `generated/evalml.problem_types.detect_problem_t ype:evalml.problem_types.detect_problem_type' on page 280 undefined on input li ne 30179. Package longtable Warning: Column widths have changed (longtable) in table 146 on input line 30184. [280 <./inheritance-f6b5e1417671de19be5a5758af8abc6d85213de5.pdf>] LaTeX Warning: Hyper reference `generated/evalml.problem_types.ProblemTypes:eva lml.problem_types.ProblemTypes' on page 281 undefined on input line 30195. Overfull \hbox (42.52957pt too wide) in paragraph at lines 30211--30213 [] LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 281 undefined on input line 30258. Package longtable Warning: Column widths have changed (longtable) in table 147 on input line 30263. LaTeX Warning: Hyper reference `generated/evalml.model_family.handle_model_fami ly:evalml.model_family.handle_model_family' on page 281 undefined on input line 30296. [281 <./inheritance-b4ccc6d2b69ea8a8ef821207dc8f874c22059c02.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 148 on input line 30301. LaTeX Warning: Hyper reference `generated/evalml.model_family.ModelFamily:evalm l.model_family.ModelFamily' on page 282 undefined on input line 30312. LaTeX Warning: Hyper reference `generated/evalml.tuners.Tuner:evalml.tuners.Tun er' on page 282 undefined on input line 30343. LaTeX Warning: Hyper reference `generated/evalml.tuners.SKOptTuner:evalml.tuner s.SKOptTuner' on page 282 undefined on input line 30348. LaTeX Warning: Hyper reference `generated/evalml.tuners.GridSearchTuner:evalml. tuners.GridSearchTuner' on page 282 undefined on input line 30353. LaTeX Warning: Hyper reference `generated/evalml.tuners.RandomSearchTuner:evalm l.tuners.RandomSearchTuner' on page 282 undefined on input line 30358. Package longtable Warning: Column widths have changed (longtable) in table 149 on input line 30363. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.__init__: evalml.tuners.Tuner.__init__' on page 282 undefined on input line 30396. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.add:evalm l.tuners.Tuner.add' on page 282 undefined on input line 30401. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.is_search _space_exhausted:evalml.tuners.Tuner.is_search_space_exhausted' on page 282 und efined on input line 30406. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.Tuner.propose:e valml.tuners.Tuner.propose' on page 282 undefined on input line 30411. Package longtable Warning: Column widths have changed (longtable) in table 150 on input line 30416. [282 <./inheritance-35d8976718f88bce869791a7b18f94ed40bd71a9.pdf>] [283] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.__in it__:evalml.tuners.SKOptTuner.__init__' on page 284 undefined on input line 305 36. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.add: evalml.tuners.SKOptTuner.add' on page 284 undefined on input line 30541. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.is_s earch_space_exhausted:evalml.tuners.SKOptTuner.is_search_space_exhausted' on pa ge 284 undefined on input line 30546. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.SKOptTuner.prop ose:evalml.tuners.SKOptTuner.propose' on page 284 undefined on input line 30551 . Package longtable Warning: Column widths have changed (longtable) in table 151 on input line 30556. [284 <./inheritance-b8926b63cc15d28543ac6c6186e6de597d3d14c5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30654--30654 []\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 285 undefined on inpu t line 30684. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .add:evalml.tuners.GridSearchTuner.add' on page 285 undefined on input line 306 89. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .is_search_space_exhausted:evalml.tuners.GridSearchTuner.is_search_space_exhaus ted' on page 285 undefined on input line 30694. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.GridSearchTuner .propose:evalml.tuners.GridSearchTuner.propose' on page 285 undefined on input line 30699. Package longtable Warning: Column widths have changed (longtable) in table 152 on input line 30704. [285 <./inheritance-d52265ce6b70bacb3efbc222bc74bfcbbd9d9a1b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30809--30809 []\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 30809--30809 \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- [286 <./inheritance-9dadd36a2857e3e3437928a0f69d7d6f1694299c.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.__init__:evalml.tuners.RandomSearchTuner.__init__' on page 287 undefined on input line 30839. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.add:evalml.tuners.RandomSearchTuner.add' on page 287 undefined on input line 30844. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.is_search_space_exhausted:evalml.tuners.RandomSearchTuner.is_search_space_ex hausted' on page 287 undefined on input line 30849. LaTeX Warning: Hyper reference `generated/methods/evalml.tuners.RandomSearchTun er.propose:evalml.tuners.RandomSearchTuner.propose' on page 287 undefined on in put line 30854. Package longtable Warning: Column widths have changed (longtable) in table 153 on input line 30859. Underfull \hbox (badness 10000) in paragraph at lines 30866--30866 []\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 , [287] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 288 undefined on input line 30986. LaTeX Warning: Hyper reference `generated/evalml.data_checks.InvalidTargetDataC heck:evalml.data_checks.InvalidTargetDataCheck' on page 288 undefined on input line 30991. LaTeX Warning: Hyper reference `generated/evalml.data_checks.HighlyNullDataChec k:evalml.data_checks.HighlyNullDataCheck' on page 288 undefined on input line 3 0996. LaTeX Warning: Hyper reference `generated/evalml.data_checks.IDColumnsDataCheck :evalml.data_checks.IDColumnsDataCheck' on page 288 undefined on input line 310 01. LaTeX Warning: Hyper reference `generated/evalml.data_checks.LabelLeakageDataCh eck:evalml.data_checks.LabelLeakageDataCheck' on page 288 undefined on input li ne 31006. LaTeX Warning: Hyper reference `generated/evalml.data_checks.OutliersDataCheck: evalml.data_checks.OutliersDataCheck' on page 288 undefined on input line 31011 . LaTeX Warning: Hyper reference `generated/evalml.data_checks.NoVarianceDataChec k:evalml.data_checks.NoVarianceDataCheck' on page 288 undefined on input line 3 1016. LaTeX Warning: Hyper reference `generated/evalml.data_checks.ClassImbalanceData Check:evalml.data_checks.ClassImbalanceDataCheck' on page 288 undefined on inpu t line 31021. Package longtable Warning: Column widths have changed (longtable) in table 154 on input line 31026. [288] Package longtable Warning: Column widths have changed (longtable) in table 155 on input line 31063. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheck. validate:evalml.data_checks.DataCheck.validate' on page 289 undefined on input line 31084. Package longtable Warning: Column widths have changed (longtable) in table 156 on input line 31089. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 289 undefined on input line 31112. [289 <./inheritance-ce2cc7e8eb49e1288902b4442288f97c01da4366.pdf> <./inheritanc e-23dcce8b32ee58dc4411623c6d827e4ed8c06ecb.pdf pdfTeX warning: pdflatex (file ./inheritance-23dcce8b32ee58dc4411623c6d827e4ed8 c06ecb.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] Package longtable Warning: Column widths have changed (longtable) in table 157 on input line 31157. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.__init__:evalml.data_checks.InvalidTargetDataCheck.__init__' on pa ge 290 undefined on input line 31178. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.InvalidTar getDataCheck.validate:evalml.data_checks.InvalidTargetDataCheck.validate' on pa ge 290 undefined on input line 31183. Package longtable Warning: Column widths have changed (longtable) in table 158 on input line 31188. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 290 undefined on input line 31222. [290 <./inheritance-c5c3fa11c957f0f5db50f9456b56f49302c8185b.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 159 on input line 31275. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.__init__:evalml.data_checks.HighlyNullDataCheck.__init__' on page 291 undefined on input line 31296. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.HighlyNull DataCheck.validate:evalml.data_checks.HighlyNullDataCheck.validate' on page 291 undefined on input line 31301. Package longtable Warning: Column widths have changed (longtable) in table 160 on input line 31306. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 291 undefined on input line 31346. [291] Package longtable Warning: Column widths have changed (longtable) in table 161 on input line 31401. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.__init__:evalml.data_checks.IDColumnsDataCheck.__init__' on page 292 u ndefined on input line 31422. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.IDColumnsD ataCheck.validate:evalml.data_checks.IDColumnsDataCheck.validate' on page 292 u ndefined on input line 31427. Package longtable Warning: Column widths have changed (longtable) in table 162 on input line 31432. [292 <./inheritance-3dd6ad1c60d486768ddbf033054ae0f7a5678668.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 163 on input line 31535. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.LabelLeaka geDataCheck.__init__:evalml.data_checks.LabelLeakageDataCheck.__init__' on page 293 undefined on input line 31556. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.LabelLeaka geDataCheck.validate:evalml.data_checks.LabelLeakageDataCheck.validate' on page 293 undefined on input line 31561. Package longtable Warning: Column widths have changed (longtable) in table 164 on input line 31566. [293 <./inheritance-ccede6c85c8b01401fa046af173441f461230c07.pdf>] LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 294 undefined on input line 31609. Package longtable Warning: Column widths have changed (longtable) in table 165 on input line 31667. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.__init__:evalml.data_checks.OutliersDataCheck.__init__' on page 294 und efined on input line 31688. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.OutliersDa taCheck.validate:evalml.data_checks.OutliersDataCheck.validate' on page 294 und efined on input line 31693. Package longtable Warning: Column widths have changed (longtable) in table 166 on input line 31698. [294 <./inheritance-0e5c77bd006b3e10842689dab93e3f80fa0409bc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31708--31710 []\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 Package longtable Warning: Column widths have changed (longtable) in table 167 on input line 31791. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.__init__:evalml.data_checks.NoVarianceDataCheck.__init__' on page 295 undefined on input line 31812. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.NoVariance DataCheck.validate:evalml.data_checks.NoVarianceDataCheck.validate' on page 295 undefined on input line 31817. [295 <./inheritance-ad9e319879ca5fb390c572d86d24c3d6fb199664.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 168 on input line 31822. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 296 undefined on input line 31863. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 296 undefined on input line 31863. Package longtable Warning: Column widths have changed (longtable) in table 169 on input line 31908. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.__init__:evalml.data_checks.ClassImbalanceDataCheck.__init__' on page 296 undefined on input line 31929. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.ClassImbal anceDataCheck.validate:evalml.data_checks.ClassImbalanceDataCheck.validate' on page 296 undefined on input line 31934. [296 <./inheritance-cb10cff638531097a1616a94113ce922e5196aa1.pdf>] Package longtable Warning: Column widths have changed (longtable) in table 170 on input line 31939. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 297 undefined on input line 31981. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataChecks:evalml. data_checks.DataChecks' on page 297 undefined on input line 32017. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DefaultDataChecks: evalml.data_checks.DefaultDataChecks' on page 297 undefined on input line 32022 . Package longtable Warning: Column widths have changed (longtable) in table 171 on input line 32027. [297] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .__init__:evalml.data_checks.DataChecks.__init__' on page 298 undefined on inpu t line 32058. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataChecks .validate:evalml.data_checks.DataChecks.validate' on page 298 undefined on inpu t line 32063. Package longtable Warning: Column widths have changed (longtable) in table 172 on input line 32068. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheck:evalml.d ata_checks.DataCheck' on page 298 undefined on input line 32079. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 298 undefined on input line 32107. [298 <./inheritance-c3d86f6de8b1f55b76372b187e4b9c2f36e10589.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.__init__:evalml.data_checks.DefaultDataChecks.__init__' on page 299 und efined on input line 32148. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DefaultDat aChecks.validate:evalml.data_checks.DefaultDataChecks.validate' on page 299 und efined on input line 32153. Package longtable Warning: Column widths have changed (longtable) in table 173 on input line 32158. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 299 undefined on input line 32194. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessage:e valml.data_checks.DataCheckMessage' on page 299 undefined on input line 32225. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckError:eva lml.data_checks.DataCheckError' on page 299 undefined on input line 32230. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckWarning:e valml.data_checks.DataCheckWarning' on page 299 undefined on input line 32235. Package longtable Warning: Column widths have changed (longtable) in table 174 on input line 32240. [299 <./inheritance-7466712241d9b0593b81f30bcee4abc573667b63.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__init__:evalml.data_checks.DataCheckMessage.__init__' on page 300 undef ined on input line 32277. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__str__:evalml.data_checks.DataCheckMessage.__str__' on page 300 undefin ed on input line 32282. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckM essage.__eq__:evalml.data_checks.DataCheckMessage.__eq__' on page 300 undefined on input line 32287. Package longtable Warning: Column widths have changed (longtable) in table 175 on input line 32292. [300 <./inheritance-9d10608233a98760263ec81cac5b12a4933cb326.pdf>] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__init__:evalml.data_checks.DataCheckError.__init__' on page 301 undefined on input line 32376. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__str__:evalml.data_checks.DataCheckError.__str__' on page 301 undefined o n input line 32381. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckE rror.__eq__:evalml.data_checks.DataCheckError.__eq__' on page 301 undefined on input line 32386. Package longtable Warning: Column widths have changed (longtable) in table 176 on input line 32391. [301 <./inheritance-583c8bc4f9e5d2e25113d5cd7e817631d23c4ff3.pdf> <./inheritanc e-d66d5b3cf14cf83dfe0492c0832ab9e663d5e1cc.pdf pdfTeX warning: pdflatex (file ./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__init__:evalml.data_checks.DataCheckWarning.__init__' on page 302 undef ined on input line 32475. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__str__:evalml.data_checks.DataCheckWarning.__str__' on page 302 undefin ed on input line 32480. LaTeX Warning: Hyper reference `generated/methods/evalml.data_checks.DataCheckW arning.__eq__:evalml.data_checks.DataCheckWarning.__eq__' on page 302 undefined on input line 32485. Package longtable Warning: Column widths have changed (longtable) in table 177 on input line 32490. LaTeX Warning: Hyper reference `generated/evalml.data_checks.DataCheckMessageTy pe:evalml.data_checks.DataCheckMessageType' on page 302 undefined on input line 32560. Package longtable Warning: Column widths have changed (longtable) in table 178 on input line 32565. [302 <./inheritance-9a70c345606d6bf40f5dce88eff55bfa0176008c.pdf>] LaTeX Warning: Hyper reference `generated/evalml.utils.import_or_raise:evalml.u tils.import_or_raise' on page 303 undefined on input line 32604. LaTeX Warning: Hyper reference `generated/evalml.utils.convert_to_seconds:evalm l.utils.convert_to_seconds' on page 303 undefined on input line 32609. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_state:evalml. utils.get_random_state' on page 303 undefined on input line 32614. LaTeX Warning: Hyper reference `generated/evalml.utils.get_random_seed:evalml.u tils.get_random_seed' on page 303 undefined on input line 32619. Package longtable Warning: Column widths have changed (longtable) in table 179 on input line 32624. [303] [304] Chapter 6. [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 32990--32993 [] [307] [308] [309] Overfull \hbox (41.08026pt too wide) in paragraph at lines 33266--33267 []\T1/ptm/m/n/10 Moved \T1/ptm/m/it/10 evalml.model_families.list_model_familie s \T1/ptm/m/n/10 to \T1/ptm/m/it/10 evalml.pipelines.components.allowed_model_f amilies [310] Underfull \hbox (badness 10000) in paragraph at lines 33330--33331 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to [311] [312] Underfull \hbox (badness 5374) in paragraph at lines 33600--33601 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to Underfull \hbox (badness 10000) in paragraph at lines 33606--33607 []\T1/ptm/m/n/10 Pipelines' and clas-si-fiers' \T1/pcr/m/n/10 feature_importanc es \T1/ptm/m/n/10 is re-named \T1/ptm/m/it/10 fea-ture_importance\T1/ptm/m/n/10 , [313] Underfull \hbox (badness 5403) in paragraph at lines 33641--33642 []\T1/ptm/m/n/10 Added precicion-recall curve met-rics and plot for bi-nary cla s-si-fi-ca-tion prob-lems in [314] [315] [316] [317] [318] Underfull \hbox (badness 8113) in paragraph at lines 34197--34198 []\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 34203--34204 []\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 [319] [320] [321] [322] [323] No file feature-labs-inc-evalml.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. [324] (./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 (328 pages, 1657723 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 (967 entries accepted, 0 rejected). Sorting entries..........done (9985 comparisons). Generating output file feature-labs-inc-evalml.ind....done (1773 lines written, 0 warnings). Output written in feature-labs-inc-evalml.ind. Transcript written in feature-labs-inc-evalml.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.ind' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.610 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.610 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] [15] [16] [17] Overfull \vbox (2.03934pt too high) detected at line 1598 [18] [19] [20] [21] [22] [23] [24] [25] [26] Chapter 4. [27] [28] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2517 ...]{{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.2517 ...]{{keyboard_interrupt_demo_updated}.gif} [29] [30] Overfull \vbox (36.39702pt too high) detected at line 2696 [31] [32] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [33] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [34] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [35] [36] Underfull \hbox (badness 10000) in paragraph at lines 3058--3059 []\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 , [37] [38] [39] Underfull \vbox (badness 10000) detected at line 3259 Overfull \vbox (2.68169pt too high) detected at line 3259 [40] [41] [42] [43] [44] Underfull \vbox (badness 10000) detected at line 3630 Overfull \vbox (2.68169pt too high) detected at line 3630 [45] [46] [47] Underfull \hbox (badness 10000) in paragraph at lines 3817--3819 \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 , [48] [49] [50] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4085 ...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.4085 ...xdimen]{{user_guide_pipelines_16_0}.svg} [51] [52] [53] [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4950 [59] [60] Underfull \vbox (badness 5119) detected at line 5040 [61] [62] Underfull \vbox (badness 10000) detected at line 5184 Overfull \vbox (2.68169pt too high) detected at line 5184 [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 5246--5247 \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 [65] [66] [67] [68] Chapter 5. [69] [70] [71] Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 []\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 5838--5838 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iteratio ns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \T1/ptm/m/it/10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 tol- Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \T1/ptm/m/it/10 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 al- Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \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 5838--5838 \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 5838--5838 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti - Overfull \hbox (24.22249pt too wide) in paragraph at lines 5885--5886 []|[][]\T1/pcr/m/sl/10 print_objective_names_allowed_in_automl[][]| Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \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-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol- Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 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 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [72 <./inheritance-1e18c30afd35d4935cafa45952c93c34ddc1adae.pdf>] Underfull \hbox (badness 7869) in paragraph at lines 5959--5963 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [73] [74] [75] Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 6315--6315 []\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 , [76 <./inheritance-e1dc270797989ccb29935590c5b95c8455ecfc23.pdf>] [77] Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \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 6466--6466 []\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 , [78 <./inheritance-cb505c75532111120300ceec2023c4acc3912847.pdf>] Underfull \hbox (badness 5908) in paragraph at lines 6614--6616 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [79] [80 <./inheritance-c9c02a07e954a88c0bf8ff03dc9a3f8e07c64ef1.pdf>] [81] [82] [83 <./inheritance-ef9a78b29272c0d632e0db38e101c4b3d5cfc3e5.pdf>] [84] Underfull \hbox (badness 10000) in paragraph at lines 7290--7292 []\T1/ptm/m/n/10 by sorted(set(y)) [85] [86] [87 <./inheritance-30e6f7d2374080246a40d9b962a73732b02075a6.pdf>] [88] Underfull \hbox (badness 10000) in paragraph at lines 7752--7754 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 7823--7823 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [89] [90] Underfull \hbox (badness 10000) in paragraph at lines 7972--7972 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [91 <./inheritance-43bdbc8f20a7302bb014aac4cd9f7913a31ceaef.pdf>] [92] Underfull \hbox (badness 10000) in paragraph at lines 8209--8211 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 8280--8280 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [93] [94] [95 <./inheritance-c0afc274f6b70cb750e33621ea7a9102f9c27348.pdf>] [96] [97] ! Dimension too large. \wd \@tempboxa l.8890 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} ! Dimension too large. b l.8890 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} [98 <./inheritance-6f3b2275fdce57243ef2e5bab0c3aef495856f0b.pdf>] [99] Underfull \hbox (badness 10000) in paragraph at lines 9172--9174 []\T1/ptm/m/n/10 by sorted(set(y)) [100] [101] ! Dimension too large. \wd \@tempboxa l.9388 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} ! Dimension too large. b l.9388 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} [102 <./inheritance-6fdb41a1217c671bfe68e7ab05ac74d9662f94fd.pdf>] [103] Underfull \hbox (badness 10000) in paragraph at lines 9665--9667 []\T1/ptm/m/n/10 by sorted(set(y)) [104] [105] ! Dimension too large. \wd \@tempboxa l.9881 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} ! Dimension too large. b l.9881 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} [106 <./inheritance-cf06fd64f927f0866bf4f5463e7cf87f21ecce82.pdf>] [107] Underfull \hbox (badness 10000) in paragraph at lines 10163--10165 []\T1/ptm/m/n/10 by sorted(set(y)) [108] [109] ! Dimension too large. \wd \@tempboxa l.10379 ...fd8f83c30ffb7f39b742afd3323fbc8774.pdf} ! Dimension too large. b l.10379 ...fd8f83c30ffb7f39b742afd3323fbc8774.pdf} Underfull \hbox (badness 10000) in paragraph at lines 10383--10383 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [110 <./inheritance-c83ce9fd8f83c30ffb7f39b742afd3323fbc8774.pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 10656--10658 []\T1/ptm/m/n/10 by sorted(set(y)) [112] Overfull \hbox (18.95404pt too wide) in paragraph at lines 10727--10727 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [113] [114 <./inheritance-626b364d1301d7fd46578c124286b3dd895b2423.pdf>] [115] [116] [117] Underfull \hbox (badness 10000) in paragraph at lines 11367--11367 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [118 <./inheritance-85c49b58be816edfd1f3e23fbf93004a41b913d1.pdf>] [119] [120] Overfull \hbox (18.95404pt too wide) in paragraph at lines 11698--11698 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [121] [122] Underfull \hbox (badness 10000) in paragraph at lines 11928--11928 []\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 11928--11928 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11987--11987 []\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 , [123 <./inheritance-f487f7257db490cd12fcb79f102190e3106f95d4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12119--12119 []\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 12119--12119 \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 , [124 <./inheritance-021f4dd9c4df0c6d79e2670d0604cf002005c056.pdf>] [125] [126] Underfull \hbox (badness 10000) in paragraph at lines 12385--12385 []\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 , [127 <./inheritance-36c72da075e84c783f4071052fc8408a1ab6f3de.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 12691--12691 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [129] ! Dimension too large. \wd \@tempboxa l.12804 ...b9596c3adb25418e9bc3aca3f493649286.pdf} ! Dimension too large. b l.12804 ...b9596c3adb25418e9bc3aca3f493649286.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12808--12808 []\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 , [130 <./inheritance-fca7a4b9596c3adb25418e9bc3aca3f493649286.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 12887--12889 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [131] [132] ! Dimension too large. \wd \@tempboxa l.13121 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} ! Dimension too large. b l.13121 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13125--13125 []\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 13204--13206 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [133 <./inheritance-54e057ebf33d8169cae4eb13364dd9d150ffc09c.pdf>] [134] ! Dimension too large. \wd \@tempboxa l.13438 ...68f43483a177df3d97f31bf9b996977758.pdf} ! Dimension too large. b l.13438 ...68f43483a177df3d97f31bf9b996977758.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 \T1/ptm/m/it/10 drop=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 \T1/ptm/m/it/10 dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [135 <./inheritance-e57eeb68f43483a177df3d97f31bf9b996977758.pdf>] [136] [137] ! Dimension too large. \wd \@tempboxa l.13826 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} ! Dimension too large. b l.13826 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} [138] Underfull \hbox (badness 10000) in paragraph at lines 13830--13830 []\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 13830--13830 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 13954--13954 []\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 13959--13963 []\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, [139 <./inheritance-8338936377eb6c52dd1e302cda06dee3a30d7f4b.pdf>] [140] ! Dimension too large. \wd \@tempboxa l.14158 ...62412556152e04415250ae9ebeeb97ab71.pdf} ! Dimension too large. b l.14158 ...62412556152e04415250ae9ebeeb97ab71.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14162--14162 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14162--14162 \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 14162--14162 \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 14162--14162 \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 , [141 <./inheritance-1bd84e62412556152e04415250ae9ebeeb97ab71.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14286--14286 []\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 , [142] [143] Overfull \hbox (62.0307pt too wide) in paragraph at lines 14462--14464 [] ! Dimension too large. \wd \@tempboxa l.14493 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} ! Dimension too large. b l.14493 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14497--14497 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14497--14497 \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 , [144 <./inheritance-e4eeacd70f8e119fe715c7a7b33e3a4875175a57.pdf>] [145] [146] Overfull \hbox (62.0307pt too wide) in paragraph at lines 14793--14795 [] ! Dimension too large. \wd \@tempboxa l.14824 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} ! Dimension too large. b l.14824 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} [147 <./inheritance-783f43e35a00a3a1072d51a3e2bb993e953ab96d.pdf>] [148] ! Dimension too large. \wd \@tempboxa l.15136 ...09315650d1a7865965715098101afdb8a5.pdf} ! Dimension too large. b l.15136 ...09315650d1a7865965715098101afdb8a5.pdf} Overfull \hbox (19.00412pt too wide) in paragraph at lines 15140--15140 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \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 15140--15140 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [149 <./inheritance-e6d10a09315650d1a7865965715098101afdb8a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15269--15269 []\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 15269--15269 \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 15269--15269 \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 , [150] [151] ! Dimension too large. \wd \@tempboxa l.15469 ...82bfc926d25216b2a75c4269183a5093c6.pdf} ! Dimension too large. b l.15469 ...82bfc926d25216b2a75c4269183a5093c6.pdf} Overfull \hbox (25.00412pt too wide) in paragraph at lines 15473--15473 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \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 15473--15473 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [152 <./inheritance-f768dc82bfc926d25216b2a75c4269183a5093c6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15602--15602 []\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 15602--15602 \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 15602--15602 \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 , [153] [154] ! Dimension too large. \wd \@tempboxa l.15802 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} ! Dimension too large. b l.15802 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} Underfull \hbox (badness 10000) in paragraph at lines 15806--15806 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [155 <./inheritance-86ffa1890ef3eb1c7d1898d642a71b7d626981ee.pdf>] [156] ! Dimension too large. \wd \@tempboxa l.16121 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} ! Dimension too large. b l.16121 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} [157] [158 <./inheritance-c389f1735004539501381a1bdf4abbf7e4d62ab8.pdf>] [159] ! Dimension too large. \wd \@tempboxa l.16444 ...e37cbdb7720f90b05a56545668be85270a.pdf} ! Dimension too large. b l.16444 ...e37cbdb7720f90b05a56545668be85270a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16448--16448 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [160 <./inheritance-c617d4e37cbdb7720f90b05a56545668be85270a.pdf>] [161] [162] ! Dimension too large. \wd \@tempboxa l.16835 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} ! Dimension too large. b l.16835 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16839--16839 []\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 16839--16839 \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 16839--16839 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [163 <./inheritance-44d810727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16987--16987 []\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 16987--16987 \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 , [164] [165] ! Dimension too large. \wd \@tempboxa l.17159 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} ! Dimension too large. b l.17159 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17163--17163 []\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 17163--17163 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17163--17163 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [166 <./inheritance-f7deef258c28bc95d279b46640f5e38f28e48ba7.pdf>] [167] ! Dimension too large. \wd \@tempboxa l.17470 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} ! Dimension too large. b l.17470 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [168 <./inheritance-12cb2cf06b5c4e0fc80056aefe0421510f1594e4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17609--17609 []\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 17609--17609 \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 , [169] [170] ! Dimension too large. \wd \@tempboxa l.17781 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} ! Dimension too large. b l.17781 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17785--17785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17785--17785 \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 , [171 <./inheritance-10b1e18b471febf9f8fe93e1193db25ea8da169e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17920--17920 []\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- [172] ! Dimension too large. \wd \@tempboxa l.18092 ...9828e64e8cfabce656c3e60374e0038c72.pdf} ! Dimension too large. b l.18092 ...9828e64e8cfabce656c3e60374e0038c72.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \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 , [173 <./inheritance-1fb17c9828e64e8cfabce656c3e60374e0038c72.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18241--18241 \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 , [174] [175] ! Dimension too large. \wd \@tempboxa l.18413 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} ! Dimension too large. b l.18413 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [176 <./inheritance-972c69d940b389fa3396e584ff3afe7fb20275cc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18552--18552 []\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 18552--18552 \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- [177] ! Dimension too large. \wd \@tempboxa l.18724 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} ! Dimension too large. b l.18724 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18728--18728 []\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 18728--18728 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18728--18728 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [178 <./inheritance-9b1c24ca1b95dd3da5ed129a3639fba2a8273408.pdf>] [179] [180] ! Dimension too large. \wd \@tempboxa l.19045 ...50b69abde46857ee001e566cf1650d5c78.pdf} ! Dimension too large. b l.19045 ...50b69abde46857ee001e566cf1650d5c78.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19049--19049 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [181 <./inheritance-7ba48e50b69abde46857ee001e566cf1650d5c78.pdf>] [182] [183] ! Dimension too large. \wd \@tempboxa l.19434 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} ! Dimension too large. b l.19434 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19438--19438 []\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 19438--19438 \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 19438--19438 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19586--19586 []\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 19586--19586 \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 , [184 <./inheritance-5cd67408660c74aa6bd8dd594916bcfb93426e43.pdf>] [185] ! Dimension too large. \wd \@tempboxa l.19758 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} ! Dimension too large. b l.19758 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19762--19762 []\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 19762--19762 \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 19762--19762 \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 , [186 <./inheritance-1aabcff00496e1680b24dc93e964049a0dfe6e8d.pdf>] [187] ! Dimension too large. \wd \@tempboxa l.20069 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} ! Dimension too large. b l.20069 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} [188] Underfull \hbox (badness 10000) in paragraph at lines 20073--20073 []\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 20073--20073 \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- [189 <./inheritance-e4c37b6ec41e33e162c6c28509eead7a0fd2e98b.pdf>] [190] ! Dimension too large. \wd \@tempboxa l.20380 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} ! Dimension too large. b l.20380 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [191 <./inheritance-5a38f53ef6334e9c7361cd61656ed9b25064f89d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20519--20519 []\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 20519--20519 \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 , [192] ! Dimension too large. \wd \@tempboxa l.20691 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} ! Dimension too large. b l.20691 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} [193] Underfull \hbox (badness 10000) in paragraph at lines 20695--20695 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20695--20695 \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 20695--20695 \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 , Underfull \hbox (badness 10000) in paragraph at lines 20830--20830 []\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- [194 <./inheritance-6ecb00b018fc4e79dbf57f4caf352e6e0b613797.pdf>] [195] ! Dimension too large. \wd \@tempboxa l.21002 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} ! Dimension too large. b l.21002 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} Underfull \hbox (badness 10000) in paragraph at lines 21006--21006 []\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 21006--21006 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21006--21006 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [196 <./inheritance-b6206847048c1dff2af5d8a008dc2e0a60d99099.pdf>] [197] ! Dimension too large. \wd \@tempboxa l.21323 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} ! Dimension too large. b l.21323 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} [198] Underfull \hbox (badness 10000) in paragraph at lines 21327--21327 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [199 <./inheritance-f58b8113ced0e7ec590912a80d708cdd64c63af7.pdf>] [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 21730--21730 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 21761--21761 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [202] Overfull \hbox (137.00916pt too wide) in paragraph at lines 21875--21875 [] Underfull \hbox (badness 10000) in paragraph at lines 21875--21875 Overfull \hbox (12.23114pt too wide) in paragraph at lines 21876--21876 [] Underfull \hbox (badness 10000) in paragraph at lines 21876--21876 [203] Underfull \hbox (badness 10000) in paragraph at lines 21909--21909 []\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 21909--21909 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 21940--21940 []\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 21940--21940 \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 21973--21973 \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 21973--21973 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 22088--22088 []\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 22088--22088 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Overfull \hbox (9.96457pt too wide) in paragraph at lines 22160--22160 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [206] Overfull \hbox (15.96457pt too wide) in paragraph at lines 22201--22201 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 22231--22233 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 22247--22247 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [207] Overfull \hbox (102.73972pt too wide) in paragraph at lines 22285--22288 [] [208] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22414--22416 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 22434--22434 [] Underfull \hbox (badness 10000) in paragraph at lines 22434--22434 [209 <./inheritance-07c1605e071dab6b69f3ce4747d98a87707cfa44.pdf>] [210 <./inhe ritance-9ed9e93988ef52b829df5d142118754a9b323b5c.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 22577--22577 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 22577--22577 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 22577--22577 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 22592--22594 [] Underfull \hbox (badness 10000) in paragraph at lines 22611--22611 []\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 22639--22639 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22639--22639 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 22640--22640 [] Underfull \hbox (badness 10000) in paragraph at lines 22640--22640 [211] [212] Overfull \hbox (51.03467pt too wide) in paragraph at lines 22800--22800 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 22800--22800 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 22800--22800 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 22815--22817 [] Underfull \hbox (badness 10000) in paragraph at lines 22834--22834 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 22834--22834 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 22834--22834 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 22835--22835 [] Underfull \hbox (badness 10000) in paragraph at lines 22835--22835 [213 <./inheritance-af479a5adeca365503c354ee58bd45a89f5cb882.pdf>] [214 <./inhe ritance-d1aea97fb46dc2e14443a25bf91b1064eb23dd02.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22967--22967 []\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 22982--22984 [] Underfull \hbox (badness 10000) in paragraph at lines 23001--23001 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 23002--23002 [] Underfull \hbox (badness 10000) in paragraph at lines 23002--23002 [215] Underfull \hbox (badness 10000) in paragraph at lines 23121--23121 []\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 , [216 <./inheritance-37ae68f2217773e86042770dfe4589b0b1feef6f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23231--23233 [] [217] [218] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23497--23499 [] [219 <./inheritance-acafd40fec2fed6a4b735783d2ee7f4ac9c19b9c.pdf>] [220] Underfull \hbox (badness 10000) in paragraph at lines 23661--23661 []\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 , [221 <./inheritance-983079748ef7532b70b5ba7a08be9e750a99ee85.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23755--23755 []\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 23770--23772 [] [222] [223] [224 <./inheritance-ec1479676a57e8519c9eb8f387640b150f34caf4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24136--24136 []\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 24151--24153 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24199--24199 [] Underfull \hbox (badness 10000) in paragraph at lines 24199--24199 [225] ! Dimension too large. \wd \@tempboxa l.24304 ...6795fcd491d082224bc7fb747a910411e3.pdf} ! Dimension too large. b l.24304 ...6795fcd491d082224bc7fb747a910411e3.pdf} [226] Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 []\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 24372--24374 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24392--24392 [] Underfull \hbox (badness 10000) in paragraph at lines 24392--24392 [227 <./inheritance-e0055e6795fcd491d082224bc7fb747a910411e3.pdf>] [228 <./inhe ritance-4c48a4eef2a4d40da4258ccd38c5d2ab1867e9e9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24547--24549 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24595--24595 [] Underfull \hbox (badness 10000) in paragraph at lines 24595--24595 [229] [230 <./inheritance-e1caeceeef3a69f09556727470cefabd2f3db152.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24768--24770 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24788--24788 [] Underfull \hbox (badness 10000) in paragraph at lines 24788--24788 [231] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24933--24935 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24953--24953 [] Underfull \hbox (badness 10000) in paragraph at lines 24953--24953 [232 <./inheritance-24c8292409e1445cdb6845a52382212d7e92c01e.pdf>] [233 <./inhe ritance-5ab894cffd2fa556ae008811ab2180a77bad0f28.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25098--25100 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25118--25118 [] Underfull \hbox (badness 10000) in paragraph at lines 25118--25118 [234] Underfull \hbox (badness 10000) in paragraph at lines 25258--25258 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25258--25258 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 25258--25258 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25273--25275 [] [235 <./inheritance-c1084573efaa43564fa1ae07f46d25cc8f963757.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25321--25321 [] Underfull \hbox (badness 10000) in paragraph at lines 25321--25321 [236] ! Dimension too large. \wd \@tempboxa l.25426 ...7879159773146f810da5d5980ce6282233.pdf} ! Dimension too large. b l.25426 ...7879159773146f810da5d5980ce6282233.pdf} Overfull \hbox (9.03467pt too wide) in paragraph at lines 25479--25479 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 25479--25479 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 25479--25479 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [237 <./inheritance-0997337879159773146f810da5d5980ce6282233.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25494--25496 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25514--25514 [] Underfull \hbox (badness 10000) in paragraph at lines 25514--25514 [238] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25669--25671 [] [239 <./inheritance-8758bd0939b729a22a0252b57e36eedfb539fd07.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25717--25717 [] Underfull \hbox (badness 10000) in paragraph at lines 25717--25717 [240] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25890--25892 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25910--25910 [] Underfull \hbox (badness 10000) in paragraph at lines 25910--25910 [241 <./inheritance-9b7f63219afca5e90c0726d96b6a998074c6a421.pdf>] [242 <./inhe ritance-9f8ecc7da295adf9c012b4fdbcb3f8a3130de2f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26055--26057 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26075--26075 [] Underfull \hbox (badness 10000) in paragraph at lines 26075--26075 [243] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26220--26222 [] [244 <./inheritance-ed58abc1c06f54edc851bc2bde703b2e6309d862.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26240--26240 [] Underfull \hbox (badness 10000) in paragraph at lines 26240--26240 [245 <./inheritance-fa116752dcae6d5557b39b7b054021fa94048e51.pdf>] 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 [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 26601--26601 []\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 26616--26618 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26636--26636 [] Underfull \hbox (badness 10000) in paragraph at lines 26636--26636 [248 <./inheritance-f5288b1dc0d3c0c5d26ad685194e4c34e681000a.pdf>] [249 <./inhe ritance-660a3479d904c386ef19366214bac9b61d45e64b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26791--26793 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26839--26839 [] Underfull \hbox (badness 10000) in paragraph at lines 26839--26839 [250] [251 <./inheritance-1bb81c65d28feccfe3174d5bc621c556342230d7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27012--27014 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27032--27032 [] Underfull \hbox (badness 10000) in paragraph at lines 27032--27032 [252] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27187--27189 [] [253 <./inheritance-0a82146073bf0cb6f4ffb1a1bbfc6b0b93b9ce32.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27235--27235 [] Underfull \hbox (badness 10000) in paragraph at lines 27235--27235 [254] Underfull \hbox (badness 10000) in paragraph at lines 27393--27393 []\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 27408--27410 [] [255 <./inheritance-c6fe7a9e1ccce3dd2db3e89f4907d83734efaa28.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27428--27428 [] Underfull \hbox (badness 10000) in paragraph at lines 27428--27428 [256 <./inheritance-ac7be532b2cdc0b1842f38b464b6d0942c6d5702.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27558--27558 []\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 27573--27575 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27593--27593 [] Underfull \hbox (badness 10000) in paragraph at lines 27593--27593 [257] Underfull \hbox (badness 10000) in paragraph at lines 27723--27723 []\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 27738--27740 [] [258 <./inheritance-3d24e0619b3facedc2f2547c9917f2719cc4e1e0.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27758--27758 [] Underfull \hbox (badness 10000) in paragraph at lines 27758--27758 [259 <./inheritance-354924292793055163636a33f56479aefb231368.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27913--27915 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27961--27961 [] Underfull \hbox (badness 10000) in paragraph at lines 27961--27961 [260] [261] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28134--28136 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28154--28154 [] Underfull \hbox (badness 10000) in paragraph at lines 28154--28154 [262 <./inheritance-468bde00b99ea354efb5a7810fac41db6069fb5e.pdf>] [263 <./inhe ritance-dad27b24eaaae2d6ed8da7cfd9ef96062c303124.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28299--28301 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28319--28319 [] Underfull \hbox (badness 10000) in paragraph at lines 28319--28319 [264] Underfull \hbox (badness 10000) in paragraph at lines 28449--28449 []\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 28464--28466 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28484--28484 [] Underfull \hbox (badness 10000) in paragraph at lines 28484--28484 [265 <./inheritance-36f033894018f28005f000e716a8e91edb6821a2.pdf>] [266 <./inhe ritance-88c087e0b0c8cf04d6d68f223cd77d8eb19c6112.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28697--28699 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28717--28717 [] Underfull \hbox (badness 10000) in paragraph at lines 28717--28717 [267] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28862--28864 [] [268 <./inheritance-573a98b5538bb382f0c340507beffabe55206907.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28882--28882 [] Underfull \hbox (badness 10000) in paragraph at lines 28882--28882 [269 <./inheritance-9c8edc5a96ae550aec0bdf3c480c16441986fe81.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29027--29029 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29047--29047 [] Underfull \hbox (badness 10000) in paragraph at lines 29047--29047 [270] Underfull \hbox (badness 10000) in paragraph at lines 29179--29179 []\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 29194--29196 [] [271 <./inheritance-0610dba8b00437887923347e52070007820b9b74.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29214--29214 [] Underfull \hbox (badness 10000) in paragraph at lines 29214--29214 [272 <./inheritance-0aa1e63f6b1fbda5d575c91a8fea9cee78fa2a6b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29359--29361 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29379--29379 [] Underfull \hbox (badness 10000) in paragraph at lines 29379--29379 [273] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29524--29526 [] [274 <./inheritance-45cd3b808dbcf97606efe92272453816698fc213.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29544--29544 [] Underfull \hbox (badness 10000) in paragraph at lines 29544--29544 [275 <./inheritance-6b580afbd560f64ab65a227b35d3832ab50ce7f8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29689--29691 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29709--29709 [] Underfull \hbox (badness 10000) in paragraph at lines 29709--29709 [276] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29854--29856 [] [277 <./inheritance-ba517e93eedf1d18ade17888fb9f4c330277dc96.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29874--29874 [] Underfull \hbox (badness 10000) in paragraph at lines 29874--29874 [278 <./inheritance-32d2de89f420ff5ea5bda37c2c266e21af437526.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30006--30006 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30006--30006 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 30006--30006 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30021--30023 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30041--30041 [] Underfull \hbox (badness 10000) in paragraph at lines 30041--30041 [279] [280 <./inheritance-f6b5e1417671de19be5a5758af8abc6d85213de5.pdf>] Overfull \hbox (42.52957pt too wide) in paragraph at lines 30211--30213 [] [281 <./inheritance-b4ccc6d2b69ea8a8ef821207dc8f874c22059c02.pdf>] [282 <./inhe ritance-35d8976718f88bce869791a7b18f94ed40bd71a9.pdf>] [283] [284 <./inheritanc e-b8926b63cc15d28543ac6c6186e6de597d3d14c5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30654--30654 []\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- [285 <./inheritance-d52265ce6b70bacb3efbc222bc74bfcbbd9d9a1b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30809--30809 []\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 30809--30809 \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- [286 <./inheritance-9dadd36a2857e3e3437928a0f69d7d6f1694299c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30866--30866 []\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 , [287] [288] [289 <./inheritance-ce2cc7e8eb49e1288902b4442288f97c01da4366.pdf> < ./inheritance-23dcce8b32ee58dc4411623c6d827e4ed8c06ecb.pdf pdfTeX warning: pdflatex (file ./inheritance-23dcce8b32ee58dc4411623c6d827e4ed8 c06ecb.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [290 <./inheritance-c5c3fa11c957f0f5db50f9456b56f49302c8185b.pdf>] [291] [292 <./inheritance-3dd6ad1c60d486768ddbf033054ae0f7a5678668.pdf>] [293 <./inhe ritance-ccede6c85c8b01401fa046af173441f461230c07.pdf>] [294 <./inheritance-0e5c 77bd006b3e10842689dab93e3f80fa0409bc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31708--31710 []\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 [295 <./inheritance-ad9e319879ca5fb390c572d86d24c3d6fb199664.pdf>] [296 <./inhe ritance-cb10cff638531097a1616a94113ce922e5196aa1.pdf>] [297] [298 <./inheritanc e-c3d86f6de8b1f55b76372b187e4b9c2f36e10589.pdf>] [299 <./inheritance-7466712241 d9b0593b81f30bcee4abc573667b63.pdf>] [300 <./inheritance-9d10608233a98760263ec8 1cac5b12a4933cb326.pdf>] [301 <./inheritance-583c8bc4f9e5d2e25113d5cd7e817631d2 3c4ff3.pdf> <./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663d5e1cc.pdf pdfTeX warning: pdflatex (file ./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [302 <./inheritance-9a70c345606d6bf40f5dce88eff55bfa0176008c.pdf>] [303] [304] Chapter 6. [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 32990--32993 [] [307] [308] [309] Overfull \hbox (41.08026pt too wide) in paragraph at lines 33266--33267 []\T1/ptm/m/n/10 Moved \T1/ptm/m/it/10 evalml.model_families.list_model_familie s \T1/ptm/m/n/10 to \T1/ptm/m/it/10 evalml.pipelines.components.allowed_model_f amilies [310] Underfull \hbox (badness 10000) in paragraph at lines 33330--33331 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to [311] [312] Underfull \hbox (badness 5374) in paragraph at lines 33600--33601 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to Underfull \hbox (badness 10000) in paragraph at lines 33606--33607 []\T1/ptm/m/n/10 Pipelines' and clas-si-fiers' \T1/pcr/m/n/10 feature_importanc es \T1/ptm/m/n/10 is re-named \T1/ptm/m/it/10 fea-ture_importance\T1/ptm/m/n/10 , [313] Underfull \hbox (badness 5403) in paragraph at lines 33641--33642 []\T1/ptm/m/n/10 Added precicion-recall curve met-rics and plot for bi-nary cla s-si-fi-ca-tion prob-lems in [314] [315] [316] [317] [318] Underfull \hbox (badness 8113) in paragraph at lines 34197--34198 []\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 34203--34204 []\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 [319] [320] [321] [322] [323] (./feature-labs-inc-evalml.ind [324] 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 (17.19112pt 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. LabelLeakageDataCheck Overfull \hbox (7.95114pt too wide) 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. NoVarianceDataCheck Underfull \hbox (badness 6348) 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. OutliersDataCheck 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 (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor [325] Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt 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.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (34.36026pt 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.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier Overfull \hbox (18.78084pt 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.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 128--129 []\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 131--133 []\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 133--135 []\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 135--137 []\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 143--144 []\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 146--148 []\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 148--150 []\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 151--153 []\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 157--159 []\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 163--164 []\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 164--165 []\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 165--166 []\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 166--168 []\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 168--169 []\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 169--170 []\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 170--172 []\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 174--176 []\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 176--177 []\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 180--182 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 180--182 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 182--184 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 calculate_percent_difference() [326] Underfull \hbox (badness 10000) in paragraph at lines 186--188 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 188--190 []\T1/pcr/m/n/10 calculate_percent_difference() 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.AUCWeighted 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 192--194 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 194--196 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 194--196 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 196--198 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 196--198 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective 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.CostBenefitMatrix 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 202--204 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 204--206 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 204--206 \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 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.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 208--210 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 210--212 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 210--212 \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 212--214 []\T1/pcr/m/n/10 calculate_percent_difference() 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.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 216--218 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 216--218 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 218--220 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), 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 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.MCCMulticlass 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 226--228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 228--230 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 228--230 \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 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() Overfull \hbox (19.9494pt too wide) in paragraph at lines 232--234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 236--238 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 236--238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision 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 238--240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 240--242 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 240--242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class 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.PrecisionWeighted 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 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.Recall class method\T1/ptm/m/ n/10 ), 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 250--252 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 252--254 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 252--254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class 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.RegressionObjective class 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 256--258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError 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 258--260 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError [327] Underfull \hbox (badness 10000) in paragraph at lines 260--262 []\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 262--264 []\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 264--266 []\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 266--268 []\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 268--269 []\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 269--270 []\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 270--272 []\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 276--278 []\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 278--279 []\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 279--281 []\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 281--283 []\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 283--285 []\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 285--287 []\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 287--289 []\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 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 291--293 []\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 293--295 []\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 295--297 []\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 297--299 []\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 299--300 []\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 300--302 []\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 302--304 []\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 304--305 []\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 305--307 []\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 307--309 []\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 309--311 []\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 311--313 []\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 313--315 []\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 315--317 []\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 317--319 []\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 319--321 []\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 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 329--331 []\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 331--333 []\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 333--335 []\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 335--337 []\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 337--339 []\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 339--341 []\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 341--343 []\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 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 347--349 []\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 349--351 []\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 351--353 []\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 353--355 []\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 355--357 []\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 357--359 []\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 359--360 []\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 360--362 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 360--362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline [328] Underfull \hbox (badness 10000) in paragraph at lines 362--364 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 362--364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 364--366 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 364--366 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 366--368 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 366--368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 368--370 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 368--370 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 370--372 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 370--372 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 372--374 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 372--374 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 374--376 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 374--376 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 376--378 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 376--378 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne 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.PipelineBase method\T1/ptm/m/n /10 ), 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 382--384 []\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 386--388 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 398--400 []\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 400--402 []\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 402--404 []\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 404--406 []\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 408--410 []\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 410--412 []\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 412--414 []\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 414--416 []\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 416--417 []\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 425--426 []\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 428--430 []\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 430--432 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 430--432 \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 432--433 []\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 433--435 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 433--435 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 435--437 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 435--437 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 437--439 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 439--440 []\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 440--442 []\T1/pcr/m/n/10 decision_function() [329] Underfull \hbox (badness 10000) in paragraph at lines 442--444 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 442--444 \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 444--446 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 444--446 \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 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.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 455--457 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 457--459 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 457--459 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 459--461 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 459--461 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 461--463 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 461--463 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 463--465 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 463--465 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 465--467 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 465--467 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 467--469 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 467--469 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 469--471 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 471--473 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer 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.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline [330] Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 520--522 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 522--524 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 524--526 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 526--528 []\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 528--530 []\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 530--532 []\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 532--534 []\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 534--536 []\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 536--538 []\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 538--540 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (9.46088pt too wide) in paragraph at lines 540--542 []\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 542--544 []\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 544--546 []\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 546--548 []\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 548--550 []\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 550--552 []\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 552--554 []\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 554--555 []\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 555--557 []\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 557--559 []\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 559--561 []\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 561--563 []\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 563--565 []\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 565--567 []\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 567--569 []\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 569--571 []\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 571--573 []\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 573--575 []\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 575--577 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (15.09074pt too wide) in paragraph at lines 577--579 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 579--581 []\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 581--583 []\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 583--585 []\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 585--587 []\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 587--589 []\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 589--591 []\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 591--593 []\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 593--595 []\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 596--597 []\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 597--598 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 597--598 \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 598--600 []\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 600--602 []\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 603--604 []\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 607--609 []\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 609--611 []\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 612--614 []\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 612--614 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), [331] Underfull \hbox (badness 10000) in paragraph at lines 614--616 []\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 614--616 \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 616--618 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\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 621--623 []\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 630--631 []\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 631--633 []\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 633--635 []\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 635--637 []\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 646--648 []\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 648--650 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 650--651 []\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 653--655 []\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 655--657 []\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 657--658 []\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 658--660 []\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 660--662 []\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 663--665 []\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 665--667 []\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 667--669 []\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 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 673--675 []\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 675--677 []\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 677--679 []\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 679--681 []\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 681--683 []\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 683--685 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 685--687 []\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 687--689 []\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 689--690 []\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 694--696 []\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 696--698 []\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 698--700 []\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 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 704--706 []\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 706--708 []\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 708--710 []\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 710--712 []\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 712--714 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder [332] Overfull \hbox (60.21062pt too wide) in paragraph at lines 714--716 []\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 716--718 []\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 718--720 []\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 720--722 []\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 722--724 []\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 724--726 []\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 726--728 []\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 728--730 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Overfull \hbox (27.96046pt too wide) in paragraph at lines 734--736 []\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 736--738 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\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 746--748 []\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 748--750 []\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 750--752 []\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 752--753 []\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 753--755 []\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 755--757 []\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 757--759 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 757--759 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 759--761 []\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 761--763 []\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 763--764 []\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 766--768 []\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 772--774 []\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 774--775 []\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 775--777 []\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 777--779 []\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 779--781 []\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 781--783 []\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 785--787 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 787--789 []\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 789--791 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 789--791 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 791--793 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 791--793 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 793--795 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 793--795 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 795--797 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 795--797 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 797--799 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 797--799 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 799--801 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 799--801 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 801--803 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 801--803 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 803--805 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 803--805 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 805--807 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 805--807 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 807--809 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), [333] Underfull \hbox (badness 10000) in paragraph at lines 809--811 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 815--817 []\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 821--823 []\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 823--825 []\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 825--826 []\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 826--828 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 826--828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 828--830 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 828--830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 830--832 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 830--832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 832--834 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 832--834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 834--836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 836--838 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 836--838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 838--840 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 838--840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 840--842 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 840--842 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 842--844 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 842--844 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 844--846 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 844--846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 846--848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 848--850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 870--872 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 872--874 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 872--874 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 874--876 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 874--876 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 876--878 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 878--880 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 880--882 []\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 882--884 []\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 884--886 []\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 886--888 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline [334] Overfull \hbox (50.73036pt too wide) in paragraph at lines 888--890 []\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 890--892 []\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 898--899 []\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 899--901 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 899--901 \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 901--903 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 901--903 \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 903--905 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\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 912--913 []\T1/pcr/m/n/10 LabelLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 914--916 []\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 916--917 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 920--922 []\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 922--924 []\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 928--930 []\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 930--932 []\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 932--934 []\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 934--936 []\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 938--940 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\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 942--944 []\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 944--946 []\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 946--948 []\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 950--952 []\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 952--954 []\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 954--956 []\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 956--958 []\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 960--962 []\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 964--966 []\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 966--968 []\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 968--970 []\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 970--972 []\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 972--974 []\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 974--976 []\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 976--978 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\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 980--982 []\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 982--984 []\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 984--986 []\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 986--988 []\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 988--990 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline [335] Overfull \hbox (11.1799pt too wide) in paragraph at lines 992--994 []\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 994--996 []\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 997--999 []\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 1005--1007 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1017--1019 []\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 1023--1025 []\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 1025--1027 []\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 1027--1028 []\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 1028--1030 []\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 1030--1032 []\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 1032--1034 []\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 1034--1036 []\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 1036--1038 []\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 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1046--1048 []\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 1048--1050 []\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 1050--1052 []\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 1052--1054 []\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 1054--1056 []\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 1056--1058 []\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 1060--1062 []\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 1062--1064 []\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 1064--1066 []\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 1066--1068 []\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 1068--1070 []\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 1070--1072 []\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 1072--1074 []\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 1074--1076 []\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 1076--1078 []\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 1078--1080 []\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 1080--1082 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (27.09074pt too wide) in paragraph at lines 1082--1084 []\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 1084--1086 []\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 1086--1088 []\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 1088--1090 []\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 1090--1092 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline [336] Overfull \hbox (32.73036pt too wide) in paragraph at lines 1092--1094 []\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 1094--1096 []\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 1098--1100 []\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 1105--1107 []\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 1108--1110 []\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 1110--1111 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1115--1117 []\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 1118--1119 []\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 1126--1128 []\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 1128--1130 []\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 1130--1132 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Underfull \hbox (badness 6927) in paragraph at lines 1136--1138 []\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 1138--1140 []\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 1153--1155 []\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 1159--1161 []\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 1161--1163 []\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 1163--1165 []\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 1165--1167 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 []\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 1177--1179 []\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 1179--1181 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1189--1191 []\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 1191--1193 []\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 1193--1195 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule [337] Underfull \hbox (badness 10000) in paragraph at lines 1195--1196 []\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 1196--1197 []\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 1200--1202 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1200--1202 \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 1202--1204 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1202--1204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1204--1205 []\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 1205--1207 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1207--1209 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1213--1215 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1213--1215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1215--1217 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1215--1217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1221--1222 []\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 1222--1224 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \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 1228--1230 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 \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 1232--1234 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 \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 1234--1236 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1236--1237 []\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 1237--1239 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1241--1243 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1241--1243 \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 1243--1245 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1243--1245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1245--1247 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1247--1248 []\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 1248--1250 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 \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 1256--1258 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 \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 1258--1260 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1260--1261 []\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 1261--1262 []\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 1262--1264 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 \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 1264--1266 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 \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 1266--1268 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 \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 1268--1270 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError [338] Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1275--1276 []\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 1276--1278 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 \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 1278--1279 []\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 1279--1281 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1279--1281 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1281--1283 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1283--1285 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1285--1286 []\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 1286--1288 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 \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 1290--1292 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \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 1292--1294 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \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 1294--1296 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1296--1297 []\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 1301--1302 []\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 1304--1306 []\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 1309--1311 []\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 1311--1313 []\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 1313--1315 []\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 1315--1317 []\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 1317--1319 []\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 1319--1321 []\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 1321--1323 []\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 1323--1325 []\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 1325--1327 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1327--1329 []\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 1329--1331 []\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 1331--1333 []\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 1333--1335 []\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 1335--1337 []\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 1337--1339 []\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 1339--1341 []\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 1341--1343 []\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 1343--1345 []\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 1345--1347 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1347--1349 []\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 1349--1351 []\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 1351--1353 []\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 1353--1355 []\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 1355--1357 []\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 1357--1359 []\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 1360--1361 []\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 1361--1363 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline [339] Overfull \hbox (42.41pt too wide) in paragraph at lines 1363--1365 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 1365--1367 []\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 1367--1369 []\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 1369--1371 []\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 1371--1373 []\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 1373--1375 []\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 1375--1377 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1377--1379 []\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 1379--1381 []\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 1381--1383 []\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 1383--1385 []\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 1385--1387 []\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 1387--1389 []\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 1389--1391 []\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 1391--1393 []\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 1393--1395 []\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 1395--1397 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1397--1399 []\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 1399--1401 []\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 1401--1403 []\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 1403--1405 []\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 1405--1407 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (16.1225pt too wide) in paragraph at lines 1407--1409 []\T1/pcr/m/n/10 print_objective_names_allowed_in_automl() Overfull \hbox (9.96046pt too wide) in paragraph at lines 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1415--1417 []\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 1417--1419 []\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 1419--1421 []\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 1421--1423 []\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 1423--1425 []\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 1425--1427 []\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 1427--1428 []\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 1428--1430 []\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 1432--1433 []\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 1439--1441 []\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 1441--1443 []\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 1450--1452 []\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 1452--1454 []\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 1454--1455 []\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 1455--1456 []\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 1456--1457 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1461--1462 []\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 1462--1464 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline [340] Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\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 1468--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\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 1475--1477 []\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 1479--1481 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1481--1482 []\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 1482--1484 []\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 1484--1486 []\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 1486--1488 []\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 1488--1489 []\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 1489--1491 []\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 1491--1493 []\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 1494--1496 []\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 1498--1500 []\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 1502--1504 []\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 1504--1506 []\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 1506--1508 []\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 1508--1510 []\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 1510--1512 []\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 1512--1514 []\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 1514--1516 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1516--1518 []\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 1518--1520 []\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 1520--1521 []\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 1521--1523 []\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 1523--1525 []\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 1525--1527 []\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 1529--1531 []\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 1531--1533 []\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 1536--1537 []\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 1541--1543 []\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 1543--1545 []\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 1545--1547 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1555--1556 []\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 1556--1557 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass [341] Underfull \hbox (badness 10000) in paragraph at lines 1561--1562 []\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 1564--1566 []\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 1566--1567 []\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 1570--1571 []\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 1576--1577 []\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 1577--1578 []\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 1578--1580 []\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 1580--1582 []\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 1586--1588 []\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 1588--1589 []\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 1589--1591 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\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 1600--1601 []\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 1601--1602 []\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 1604--1605 []\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 1611--1613 []\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 1613--1615 []\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 1615--1617 []\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 1617--1619 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1617--1619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1619--1621 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1619--1621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1621--1623 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1621--1623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1623--1625 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1623--1625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1625--1627 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1625--1627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1627--1629 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1627--1629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1629--1631 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1629--1631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1631--1633 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1631--1633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1633--1635 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1633--1635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1637--1639 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1637--1639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1639--1641 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1639--1641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1641--1643 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1641--1643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or [342] Underfull \hbox (badness 10000) in paragraph at lines 1643--1645 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1643--1645 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1645--1647 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1645--1647 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1650--1651 []\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 1651--1652 []\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 1652--1654 []\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 1654--1656 []\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 1656--1658 []\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 1658--1660 []\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 1660--1662 []\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 1662--1664 []\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 1664--1666 []\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 1666--1668 []\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 1668--1670 []\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 1670--1672 []\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 1672--1674 []\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 1674--1676 []\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 1676--1678 []\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 1683--1685 []\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 1686--1687 []\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 1689--1691 []\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 1691--1693 []\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 1693--1695 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (17.19112pt too wide) in paragraph at lines 1695--1697 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. LabelLeakageDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1697--1699 []\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 1699--1701 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1701--1703 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1701--1703 \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 1703--1705 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1703--1705 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1705--1706 []\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 1707--1708 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 \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 1710--1712 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1712--1714 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1712--1714 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1714--1716 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1716--1718 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1721--1722 []\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 1722--1723 []\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 1725--1726 []\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 1728--1730 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1728--1730 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), [343] Underfull \hbox (badness 10000) in paragraph at lines 1730--1732 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1732--1733 []\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 1733--1734 []\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 1735--1737 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 \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 1737--1739 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1737--1739 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1739--1740 []\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 1740--1741 []\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 1741--1743 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1741--1743 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 \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 1745--1746 []\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 1746--1748 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1746--1748 \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 1748--1750 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1748--1750 \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 1750--1752 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1753--1754 []\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 1754--1756 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1754--1756 \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 1758--1760 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1758--1760 \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 1760--1762 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1760--1762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 []\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 1771--1772 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [344]) (./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 (348 pages, 1761258 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'feature-labs-inc-evalml.aux' 'feature-labs-inc-evalml.out' 'feature-labs-inc-evalml.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -interaction=nonstopmode -recorder --jobname="feature-labs-inc-evalml" "EvalML.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./EvalML.tex LaTeX2e <2017-04-15> Babel <3.18> and hyphenation patterns for 84 language(s) loaded. (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/23 v2.0 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2014/09/29 v1.4h Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/utf8.def (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/ot1enc.dfu) (/usr/share/texlive/texmf-dist/tex/latex/base/omsenc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v2.7a, with DG/SPQR fixes, and firstline=lastline fix <2008/02/07> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (/usr/share/texlive/texmf-dist/tex/latex/carlisle/remreset.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) (./sphinxmessages.sty) Writing index file feature-labs-inc-evalml.idx (./feature-labs-inc-evalml.aux LaTeX Warning: Label `user_guide/components:Required-fields' multiply defined. LaTeX Warning: Label `user_guide/components:Required-methods' multiply defined. ) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./feature-labs-inc-evalml.out) (./feature-labs-inc-evalml.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map}] [2] (./feature-labs-inc-evalml.toc) [1] [2] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.219 ...3\sphinxpxdimen]{{evalml_horizontal}.svg} [1] [2] Chapter 1. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) [3] [4] Chapter 2. [5] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [6] [7] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.610 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.610 ...t=2320.0\sphinxpxdimen]{{start_20_0}.svg} [8] Chapter 3. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) [9] [10] [11] [12] [13] [14] [15] [16] [17] Overfull \vbox (2.03934pt too high) detected at line 1598 [18] [19] [20] [21] [22] [23] [24] [25] [26] Chapter 4. [27] [28] ! LaTeX Error: Unknown graphics extension: .gif. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.2517 ...]{{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.2517 ...]{{keyboard_interrupt_demo_updated}.gif} [29] [30] Overfull \vbox (36.39702pt too high) detected at line 2696 [31] [32] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [33] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [34] Underfull \vbox (badness 10000) detected at line 2993 Overfull \vbox (2.68169pt too high) detected at line 2993 [35] [36] Underfull \hbox (badness 10000) in paragraph at lines 3058--3059 []\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 , [37] [38] [39] Underfull \vbox (badness 10000) detected at line 3259 Overfull \vbox (2.68169pt too high) detected at line 3259 [40] [41] [42] [43] [44] Underfull \vbox (badness 10000) detected at line 3630 Overfull \vbox (2.68169pt too high) detected at line 3630 [45] [46] [47] Underfull \hbox (badness 10000) in paragraph at lines 3817--3819 \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 , [48] [49] [50] ! LaTeX Error: Unknown graphics extension: .svg. See the LaTeX manual or LaTeX Companion for explanation. Type H for immediate help. ... l.4085 ...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.4085 ...xdimen]{{user_guide_pipelines_16_0}.svg} [51] [52] [53] [54] [55] [56] [57] [58] Underfull \vbox (badness 10000) detected at line 4950 [59] [60] Underfull \vbox (badness 5119) detected at line 5040 [61] [62] Underfull \vbox (badness 10000) detected at line 5184 Overfull \vbox (2.68169pt too high) detected at line 5184 [63] [64] Underfull \hbox (badness 10000) in paragraph at lines 5246--5247 \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 [65] [66] [67] [68] Chapter 5. [69] [70] [71] Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 []\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 5838--5838 \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_iteratio ns=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \T1/ptm/m/it/10 max_time=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 pa-tience=None\T1 /ptm/m/n/10 , \T1/ptm/m/it/10 tol- Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \T1/ptm/m/it/10 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 al- Underfull \hbox (badness 10000) in paragraph at lines 5838--5838 \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 5838--5838 \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 5838--5838 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 tuner_class=None\T1/p tm/m/n/10 , \T1/ptm/m/it/10 ver-bose=True\T1/ptm/m/n/10 , \T1/ptm/m/it/10 op-ti - Overfull \hbox (24.22249pt too wide) in paragraph at lines 5885--5886 []|[][]\T1/pcr/m/sl/10 print_objective_names_allowed_in_automl[][]| Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 []\T1/ptm/m/it/10 problem_type=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive ='auto'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 max_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \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-tience=None\T1/ptm/m/n/10 , \T1/ptm/m/it/ 10 tol- Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 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 al-lowed_pipelines=None\T1/ptm/m/n/10 , \T1/ptm/m /it/10 al- Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 lowed_model_families=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 start _iteration_callback=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 5907--5907 \T1/ptm/m/it/10 add_result_callback=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ad-di- tional_objectives=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [72 <./inheritance-1e18c30afd35d4935cafa45952c93c34ddc1adae.pdf>] Underfull \hbox (badness 7869) in paragraph at lines 5959--5963 \T1/ptm/m/n/10 i-lies to search. The de-fault of None searches over all model f am-i-lies. [73] [74] [75] Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6271--6271 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 6315--6315 []\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 , [76 <./inheritance-e1dc270797989ccb29935590c5b95c8455ecfc23.pdf>] [77] Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 []\T1/ptm/m/it/10 allowed_pipelines=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 max_iterations=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 tuner_class=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \T1/ptm/m/it/10 pipelines_per_batch=5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 6422--6422 \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 6466--6466 []\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 , [78 <./inheritance-cb505c75532111120300ceec2023c4acc3912847.pdf>] Underfull \hbox (badness 5908) in paragraph at lines 6614--6616 []|\T1/ptm/m/n/10 Pipeline sub-class for all mul-ti-class clas-si-fi-ca-tion [79] [80 <./inheritance-c9c02a07e954a88c0bf8ff03dc9a3f8e07c64ef1.pdf>] [81] [82] [83 <./inheritance-ef9a78b29272c0d632e0db38e101c4b3d5cfc3e5.pdf>] [84] Underfull \hbox (badness 10000) in paragraph at lines 7290--7292 []\T1/ptm/m/n/10 by sorted(set(y)) [85] [86] [87 <./inheritance-30e6f7d2374080246a40d9b962a73732b02075a6.pdf>] [88] Underfull \hbox (badness 10000) in paragraph at lines 7752--7754 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (6.95404pt too wide) in paragraph at lines 7823--7823 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [89] [90] Underfull \hbox (badness 10000) in paragraph at lines 7972--7972 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [91 <./inheritance-43bdbc8f20a7302bb014aac4cd9f7913a31ceaef.pdf>] [92] Underfull \hbox (badness 10000) in paragraph at lines 8209--8211 []\T1/ptm/m/n/10 by sorted(set(y)) Overfull \hbox (30.95404pt too wide) in paragraph at lines 8280--8280 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [93] [94] [95 <./inheritance-c0afc274f6b70cb750e33621ea7a9102f9c27348.pdf>] [96] [97] ! Dimension too large. \wd \@tempboxa l.8890 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} ! Dimension too large. b l.8890 ...275fdce57243ef2e5bab0c3aef495856f0b.pdf} [98 <./inheritance-6f3b2275fdce57243ef2e5bab0c3aef495856f0b.pdf>] [99] Underfull \hbox (badness 10000) in paragraph at lines 9172--9174 []\T1/ptm/m/n/10 by sorted(set(y)) [100] [101] ! Dimension too large. \wd \@tempboxa l.9388 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} ! Dimension too large. b l.9388 ...1a1217c671bfe68e7ab05ac74d9662f94fd.pdf} [102 <./inheritance-6fdb41a1217c671bfe68e7ab05ac74d9662f94fd.pdf>] [103] Underfull \hbox (badness 10000) in paragraph at lines 9665--9667 []\T1/ptm/m/n/10 by sorted(set(y)) [104] [105] ! Dimension too large. \wd \@tempboxa l.9881 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} ! Dimension too large. b l.9881 ...d64f927f0866bf4f5463e7cf87f21ecce82.pdf} [106 <./inheritance-cf06fd64f927f0866bf4f5463e7cf87f21ecce82.pdf>] [107] Underfull \hbox (badness 10000) in paragraph at lines 10163--10165 []\T1/ptm/m/n/10 by sorted(set(y)) [108] [109] ! Dimension too large. \wd \@tempboxa l.10379 ...fd8f83c30ffb7f39b742afd3323fbc8774.pdf} ! Dimension too large. b l.10379 ...fd8f83c30ffb7f39b742afd3323fbc8774.pdf} Underfull \hbox (badness 10000) in paragraph at lines 10383--10383 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [110 <./inheritance-c83ce9fd8f83c30ffb7f39b742afd3323fbc8774.pdf>] [111] Underfull \hbox (badness 10000) in paragraph at lines 10656--10658 []\T1/ptm/m/n/10 by sorted(set(y)) [112] Overfull \hbox (18.95404pt too wide) in paragraph at lines 10727--10727 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [113] [114 <./inheritance-626b364d1301d7fd46578c124286b3dd895b2423.pdf>] [115] [116] [117] Underfull \hbox (badness 10000) in paragraph at lines 11367--11367 []\T1/ptm/m/it/10 parameters\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [118 <./inheritance-85c49b58be816edfd1f3e23fbf93004a41b913d1.pdf>] [119] [120] Overfull \hbox (18.95404pt too wide) in paragraph at lines 11698--11698 []\T1/ptm/m/it/10 importance_threshold=0\T1/pcr/m/n/10 ) [121] [122] Underfull \hbox (badness 10000) in paragraph at lines 11928--11928 []\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 11928--11928 \T1/ptm/m/it/10 nent_obj=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran-dom_state=0\T 1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 11987--11987 []\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 , [123 <./inheritance-f487f7257db490cd12fcb79f102190e3106f95d4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 12119--12119 []\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 12119--12119 \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 , [124 <./inheritance-021f4dd9c4df0c6d79e2670d0604cf002005c056.pdf>] [125] [126] Underfull \hbox (badness 10000) in paragraph at lines 12385--12385 []\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 , [127 <./inheritance-36c72da075e84c783f4071052fc8408a1ab6f3de.pdf>] [128] Underfull \hbox (badness 10000) in paragraph at lines 12691--12691 []\T1/ptm/m/it/10 problem_type\T1/ptm/m/n/10 , [129] ! Dimension too large. \wd \@tempboxa l.12804 ...b9596c3adb25418e9bc3aca3f493649286.pdf} ! Dimension too large. b l.12804 ...b9596c3adb25418e9bc3aca3f493649286.pdf} Underfull \hbox (badness 10000) in paragraph at lines 12808--12808 []\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 , [130 <./inheritance-fca7a4b9596c3adb25418e9bc3aca3f493649286.pdf>] Underfull \hbox (badness 7576) in paragraph at lines 12887--12889 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [131] [132] ! Dimension too large. \wd \@tempboxa l.13121 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} ! Dimension too large. b l.13121 ...ebf33d8169cae4eb13364dd9d150ffc09c.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13125--13125 []\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 13204--13206 []|\T1/ptm/m/n/10 Initalizes an trans-former that drops spec-i-fied [133 <./inheritance-54e057ebf33d8169cae4eb13364dd9d150ffc09c.pdf>] [134] ! Dimension too large. \wd \@tempboxa l.13438 ...68f43483a177df3d97f31bf9b996977758.pdf} ! Dimension too large. b l.13438 ...68f43483a177df3d97f31bf9b996977758.pdf} Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 []\T1/ptm/m/it/10 top_n=10\T1/ptm/m/n/10 , \T1/ptm/m/it/10 cat-e-gories=None\T1 /ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 \T1/ptm/m/it/10 drop=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- Underfull \hbox (badness 10000) in paragraph at lines 13442--13442 \T1/ptm/m/it/10 dle_unknown='ignore'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 han- [135 <./inheritance-e57eeb68f43483a177df3d97f31bf9b996977758.pdf>] [136] [137] ! Dimension too large. \wd \@tempboxa l.13826 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} ! Dimension too large. b l.13826 ...6377eb6c52dd1e302cda06dee3a30d7f4b.pdf} [138] Underfull \hbox (badness 10000) in paragraph at lines 13830--13830 []\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 13830--13830 \T1/ptm/m/it/10 fault_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Overfull \hbox (5.61217pt too wide) in paragraph at lines 13954--13954 []\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 13959--13963 []\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, [139 <./inheritance-8338936377eb6c52dd1e302cda06dee3a30d7f4b.pdf>] [140] ! Dimension too large. \wd \@tempboxa l.14158 ...62412556152e04415250ae9ebeeb97ab71.pdf} ! Dimension too large. b l.14158 ...62412556152e04415250ae9ebeeb97ab71.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14162--14162 []\T1/ptm/m/it/10 categorical_impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14162--14162 \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 14162--14162 \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 14162--14162 \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 , [141 <./inheritance-1bd84e62412556152e04415250ae9ebeeb97ab71.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 14286--14286 []\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 , [142] [143] Overfull \hbox (62.0307pt too wide) in paragraph at lines 14462--14464 [] ! Dimension too large. \wd \@tempboxa l.14493 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} ! Dimension too large. b l.14493 ...d70f8e119fe715c7a7b33e3a4875175a57.pdf} Underfull \hbox (badness 10000) in paragraph at lines 14497--14497 []\T1/ptm/m/it/10 impute_strategy='most_frequent'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 14497--14497 \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 , [144 <./inheritance-e4eeacd70f8e119fe715c7a7b33e3a4875175a57.pdf>] [145] [146] Overfull \hbox (62.0307pt too wide) in paragraph at lines 14793--14795 [] ! Dimension too large. \wd \@tempboxa l.14824 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} ! Dimension too large. b l.14824 ...e35a00a3a1072d51a3e2bb993e953ab96d.pdf} [147 <./inheritance-783f43e35a00a3a1072d51a3e2bb993e953ab96d.pdf>] [148] ! Dimension too large. \wd \@tempboxa l.15136 ...09315650d1a7865965715098101afdb8a5.pdf} ! Dimension too large. b l.15136 ...09315650d1a7865965715098101afdb8a5.pdf} Overfull \hbox (19.00412pt too wide) in paragraph at lines 15140--15140 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 per- Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15140--15140 \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 15140--15140 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [149 <./inheritance-e6d10a09315650d1a7865965715098101afdb8a5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15269--15269 []\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 15269--15269 \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 15269--15269 \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 , [150] [151] ! Dimension too large. \wd \@tempboxa l.15469 ...82bfc926d25216b2a75c4269183a5093c6.pdf} ! Dimension too large. b l.15469 ...82bfc926d25216b2a75c4269183a5093c6.pdf} Overfull \hbox (25.00412pt too wide) in paragraph at lines 15473--15473 []\T1/ptm/m/it/10 number_features=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 n_estimators=10\T1/ptm/m/n/10 , Overfull \hbox (1.48462pt too wide) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 max_depth=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 per- Overfull \hbox (2.50423pt too wide) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 cent_features=0.5\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \T1/ptm/m/it/10 threshold=-inf\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 15473--15473 \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 15473--15473 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [152 <./inheritance-f768dc82bfc926d25216b2a75c4269183a5093c6.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 15602--15602 []\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 15602--15602 \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 15602--15602 \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 , [153] [154] ! Dimension too large. \wd \@tempboxa l.15802 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} ! Dimension too large. b l.15802 ...890ef3eb1c7d1898d642a71b7d626981ee.pdf} Underfull \hbox (badness 10000) in paragraph at lines 15806--15806 []\T1/ptm/m/it/10 pct_null_threshold=1.0\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [155 <./inheritance-86ffa1890ef3eb1c7d1898d642a71b7d626981ee.pdf>] [156] ! Dimension too large. \wd \@tempboxa l.16121 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} ! Dimension too large. b l.16121 ...735004539501381a1bdf4abbf7e4d62ab8.pdf} [157] [158 <./inheritance-c389f1735004539501381a1bdf4abbf7e4d62ab8.pdf>] [159] ! Dimension too large. \wd \@tempboxa l.16444 ...e37cbdb7720f90b05a56545668be85270a.pdf} ! Dimension too large. b l.16444 ...e37cbdb7720f90b05a56545668be85270a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16448--16448 []\T1/ptm/m/it/10 text_columns=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [160 <./inheritance-c617d4e37cbdb7720f90b05a56545668be85270a.pdf>] [161] [162] ! Dimension too large. \wd \@tempboxa l.16835 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} ! Dimension too large. b l.16835 ...727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf} Underfull \hbox (badness 10000) in paragraph at lines 16839--16839 []\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 16839--16839 \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 16839--16839 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , [163 <./inheritance-44d810727fcc546ea6f5db8c99ebdf2ffbc71c1a.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 16987--16987 []\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 16987--16987 \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 , [164] [165] ! Dimension too large. \wd \@tempboxa l.17159 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} ! Dimension too large. b l.17159 ...258c28bc95d279b46640f5e38f28e48ba7.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17163--17163 []\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 17163--17163 \T1/ptm/m/it/10 ran-dom_state=0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17163--17163 \T1/ptm/m/it/10 penalty='elasticnet'\T1/ptm/m/n/10 , [166 <./inheritance-f7deef258c28bc95d279b46640f5e38f28e48ba7.pdf>] [167] ! Dimension too large. \wd \@tempboxa l.17470 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} ! Dimension too large. b l.17470 ...f06b5c4e0fc80056aefe0421510f1594e4.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (10.18385pt too wide) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17474--17474 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [168 <./inheritance-12cb2cf06b5c4e0fc80056aefe0421510f1594e4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17609--17609 []\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 17609--17609 \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 , [169] [170] ! Dimension too large. \wd \@tempboxa l.17781 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} ! Dimension too large. b l.17781 ...8b471febf9f8fe93e1193db25ea8da169e.pdf} Underfull \hbox (badness 10000) in paragraph at lines 17785--17785 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 17785--17785 \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 , [171 <./inheritance-10b1e18b471febf9f8fe93e1193db25ea8da169e.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 17920--17920 []\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- [172] ! Dimension too large. \wd \@tempboxa l.18092 ...9828e64e8cfabce656c3e60374e0038c72.pdf} ! Dimension too large. b l.18092 ...9828e64e8cfabce656c3e60374e0038c72.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 []\T1/ptm/m/it/10 boosting_type='gbdt'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 learn-ing_rate=0.1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \T1/ptm/m/it/10 min_child_samples=20\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18096--18096 \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 , [173 <./inheritance-1fb17c9828e64e8cfabce656c3e60374e0038c72.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18241--18241 \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 , [174] [175] ! Dimension too large. \wd \@tempboxa l.18413 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} ! Dimension too large. b l.18413 ...d940b389fa3396e584ff3afe7fb20275cc.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 []\T1/ptm/m/it/10 penalty='l2'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 C=1.0\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 n_jobs=-1\T1/ptm/m/n/10 , Overfull \hbox (12.49408pt too wide) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 multi_class='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 solver='lbfgs'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 ran- Underfull \hbox (badness 10000) in paragraph at lines 18417--18417 \T1/ptm/m/it/10 dom_state=0\T1/ptm/m/n/10 , [176 <./inheritance-972c69d940b389fa3396e584ff3afe7fb20275cc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 18552--18552 []\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 18552--18552 \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- [177] ! Dimension too large. \wd \@tempboxa l.18724 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} ! Dimension too large. b l.18724 ...ca1b95dd3da5ed129a3639fba2a8273408.pdf} Underfull \hbox (badness 10000) in paragraph at lines 18728--18728 []\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 18728--18728 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 18728--18728 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [178 <./inheritance-9b1c24ca1b95dd3da5ed129a3639fba2a8273408.pdf>] [179] [180] ! Dimension too large. \wd \@tempboxa l.19045 ...50b69abde46857ee001e566cf1650d5c78.pdf} ! Dimension too large. b l.19045 ...50b69abde46857ee001e566cf1650d5c78.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19049--19049 []\T1/ptm/m/it/10 strategy='mode'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [181 <./inheritance-7ba48e50b69abde46857ee001e566cf1650d5c78.pdf>] [182] [183] ! Dimension too large. \wd \@tempboxa l.19434 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} ! Dimension too large. b l.19434 ...08660c74aa6bd8dd594916bcfb93426e43.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19438--19438 []\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 19438--19438 \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 19438--19438 \T1/ptm/m/it/10 al-low_writing_files=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 19586--19586 []\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 19586--19586 \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 , [184 <./inheritance-5cd67408660c74aa6bd8dd594916bcfb93426e43.pdf>] [185] ! Dimension too large. \wd \@tempboxa l.19758 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} ! Dimension too large. b l.19758 ...f00496e1680b24dc93e964049a0dfe6e8d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 19762--19762 []\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 19762--19762 \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 19762--19762 \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 , [186 <./inheritance-1aabcff00496e1680b24dc93e964049a0dfe6e8d.pdf>] [187] ! Dimension too large. \wd \@tempboxa l.20069 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} ! Dimension too large. b l.20069 ...6ec41e33e162c6c28509eead7a0fd2e98b.pdf} [188] Underfull \hbox (badness 10000) in paragraph at lines 20073--20073 []\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 20073--20073 \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- [189 <./inheritance-e4c37b6ec41e33e162c6c28509eead7a0fd2e98b.pdf>] [190] ! Dimension too large. \wd \@tempboxa l.20380 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} ! Dimension too large. b l.20380 ...3ef6334e9c7361cd61656ed9b25064f89d.pdf} Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 max_features='auto'\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 max_depth=6\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 min_samples_split=2\T1/ptm/m/n/10 , Overfull \hbox (4.18385pt too wide) in paragraph at lines 20384--20384 \T1/ptm/m/it/10 min_weight_fraction_leaf=0.0\T1/ptm/m/n/10 , [191 <./inheritance-5a38f53ef6334e9c7361cd61656ed9b25064f89d.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 20519--20519 []\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 20519--20519 \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 , [192] ! Dimension too large. \wd \@tempboxa l.20691 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} ! Dimension too large. b l.20691 ...b018fc4e79dbf57f4caf352e6e0b613797.pdf} [193] Underfull \hbox (badness 10000) in paragraph at lines 20695--20695 []\T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 20695--20695 \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 20695--20695 \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 , Underfull \hbox (badness 10000) in paragraph at lines 20830--20830 []\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- [194 <./inheritance-6ecb00b018fc4e79dbf57f4caf352e6e0b613797.pdf>] [195] ! Dimension too large. \wd \@tempboxa l.21002 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} ! Dimension too large. b l.21002 ...47048c1dff2af5d8a008dc2e0a60d99099.pdf} Underfull \hbox (badness 10000) in paragraph at lines 21006--21006 []\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 21006--21006 \T1/ptm/m/it/10 min_child_weight=1\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 21006--21006 \T1/ptm/m/it/10 n_estimators=100\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [196 <./inheritance-b6206847048c1dff2af5d8a008dc2e0a60d99099.pdf>] [197] ! Dimension too large. \wd \@tempboxa l.21323 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} ! Dimension too large. b l.21323 ...13ced0e7ec590912a80d708cdd64c63af7.pdf} [198] Underfull \hbox (badness 10000) in paragraph at lines 21327--21327 []\T1/ptm/m/it/10 strategy='mean'\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [199 <./inheritance-f58b8113ced0e7ec590912a80d708cdd64c63af7.pdf>] [200] [201] Underfull \hbox (badness 10000) in paragraph at lines 21730--21730 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , \T1/ptm/m/it/10 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 21761--21761 []\T1/ptm/m/it/10 conf_mat\T1/ptm/m/n/10 , \T1/ptm/m/it/10 nor-mal- [202] Overfull \hbox (137.00916pt too wide) in paragraph at lines 21875--21875 [] Underfull \hbox (badness 10000) in paragraph at lines 21875--21875 Overfull \hbox (12.23114pt too wide) in paragraph at lines 21876--21876 [] Underfull \hbox (badness 10000) in paragraph at lines 21876--21876 [203] Underfull \hbox (badness 10000) in paragraph at lines 21909--21909 []\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 21909--21909 \T1/ptm/m/it/10 tom_class_names=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ti- Underfull \hbox (badness 10000) in paragraph at lines 21940--21940 []\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 21940--21940 \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 21973--21973 \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 21973--21973 \T1/ptm/m/it/10 n_jobs=None\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ran- [204] [205] Underfull \hbox (badness 10000) in paragraph at lines 22088--22088 []\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 22088--22088 \T1/ptm/m/it/10 y\T1/ptm/m/n/10 , \T1/ptm/m/it/10 ob-jec-tive\T1/ptm/m/n/10 , Overfull \hbox (9.96457pt too wide) in paragraph at lines 22160--22160 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 in- Overfull \hbox (27.37434pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (11.71484pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 top_k=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 train- Overfull \hbox (41.16466pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 in- Overfull \hbox (82.06406pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 out- Overfull \hbox (53.04424pt too wide) in paragraph at lines 22160--22160 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [206] Overfull \hbox (15.96457pt too wide) in paragraph at lines 22201--22201 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 in- Overfull \hbox (33.37434pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (3.87474pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 train- Overfull \hbox (47.16466pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 ing_data=None\T1/ptm/m/n/10 , Overfull \hbox (54.56429pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 in- Overfull \hbox (88.06406pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 out- Overfull \hbox (59.04424pt too wide) in paragraph at lines 22201--22201 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) Overfull \hbox (94.49048pt too wide) in paragraph at lines 22231--22233 [] Overfull \hbox (81.96457pt too wide) in paragraph at lines 22247--22247 []\T1/ptm/m/it/10 pipeline\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 in- Overfull \hbox (99.37434pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 put_features\T1/ptm/m/n/10 , Overfull \hbox (75.29468pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (125.73459pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 num_to_explain=5\T1/ptm/m/n/10 , Overfull \hbox (120.56429pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 top_k_features=3\T1/ptm/m/n/10 , Overfull \hbox (58.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 in- Overfull \hbox (154.06406pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 clude_shap_values=False\T1/ptm/m/n/10 , Overfull \hbox (65.01477pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 met- Overfull \hbox (88.7146pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 ric=None\T1/ptm/m/n/10 , Overfull \hbox (63.35486pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 out- Overfull \hbox (125.04424pt too wide) in paragraph at lines 22247--22247 \T1/ptm/m/it/10 put_format='text'\T1/pcr/m/n/10 ) [207] Overfull \hbox (102.73972pt too wide) in paragraph at lines 22285--22288 [] [208] Overfull \hbox (10.35059pt too wide) in paragraph at lines 22414--22416 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 22434--22434 [] Underfull \hbox (badness 10000) in paragraph at lines 22434--22434 [209 <./inheritance-07c1605e071dab6b69f3ce4747d98a87707cfa44.pdf>] [210 <./inhe ritance-9ed9e93988ef52b829df5d142118754a9b323b5c.pdf>] Overfull \hbox (27.03467pt too wide) in paragraph at lines 22577--22577 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (24.9048pt too wide) in paragraph at lines 22577--22577 \T1/ptm/m/it/10 base- Overfull \hbox (50.5344pt too wide) in paragraph at lines 22577--22577 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 22592--22594 [] Underfull \hbox (badness 10000) in paragraph at lines 22611--22611 []\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 22639--22639 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 22639--22639 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 22640--22640 [] Underfull \hbox (badness 10000) in paragraph at lines 22640--22640 [211] [212] Overfull \hbox (51.03467pt too wide) in paragraph at lines 22800--22800 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (48.9048pt too wide) in paragraph at lines 22800--22800 \T1/ptm/m/it/10 base- Overfull \hbox (74.5344pt too wide) in paragraph at lines 22800--22800 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 22815--22817 [] Underfull \hbox (badness 10000) in paragraph at lines 22834--22834 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , Overfull \hbox (16.58444pt too wide) in paragraph at lines 22834--22834 \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n/10 , Overfull \hbox (7.21486pt too wide) in paragraph at lines 22834--22834 \T1/ptm/m/it/10 X=None\T1/pcr/m/n/10 ) Overfull \hbox (69.69008pt too wide) in paragraph at lines 22835--22835 [] Underfull \hbox (badness 10000) in paragraph at lines 22835--22835 [213 <./inheritance-af479a5adeca365503c354ee58bd45a89f5cb882.pdf>] [214 <./inhe ritance-d1aea97fb46dc2e14443a25bf91b1064eb23dd02.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 22967--22967 []\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 22982--22984 [] Underfull \hbox (badness 10000) in paragraph at lines 23001--23001 []\T1/ptm/m/it/10 y_true\T1/ptm/m/n/10 , \T1/ptm/m/it/10 y_predicted\T1/ptm/m/n /10 , Overfull \hbox (69.69008pt too wide) in paragraph at lines 23002--23002 [] Underfull \hbox (badness 10000) in paragraph at lines 23002--23002 [215] Underfull \hbox (badness 10000) in paragraph at lines 23121--23121 []\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 , [216 <./inheritance-37ae68f2217773e86042770dfe4589b0b1feef6f.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23231--23233 [] [217] [218] Overfull \hbox (10.35059pt too wide) in paragraph at lines 23497--23499 [] [219 <./inheritance-acafd40fec2fed6a4b735783d2ee7f4ac9c19b9c.pdf>] [220] Underfull \hbox (badness 10000) in paragraph at lines 23661--23661 []\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 , [221 <./inheritance-983079748ef7532b70b5ba7a08be9e750a99ee85.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 23755--23755 []\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 23770--23772 [] [222] [223] [224 <./inheritance-ec1479676a57e8519c9eb8f387640b150f34caf4.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 24136--24136 []\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 24151--24153 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24199--24199 [] Underfull \hbox (badness 10000) in paragraph at lines 24199--24199 [225] ! Dimension too large. \wd \@tempboxa l.24304 ...6795fcd491d082224bc7fb747a910411e3.pdf} ! Dimension too large. b l.24304 ...6795fcd491d082224bc7fb747a910411e3.pdf} [226] Underfull \hbox (badness 10000) in paragraph at lines 24357--24357 []\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 24372--24374 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24392--24392 [] Underfull \hbox (badness 10000) in paragraph at lines 24392--24392 [227 <./inheritance-e0055e6795fcd491d082224bc7fb747a910411e3.pdf>] [228 <./inhe ritance-4c48a4eef2a4d40da4258ccd38c5d2ab1867e9e9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24547--24549 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24595--24595 [] Underfull \hbox (badness 10000) in paragraph at lines 24595--24595 [229] [230 <./inheritance-e1caeceeef3a69f09556727470cefabd2f3db152.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24768--24770 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24788--24788 [] Underfull \hbox (badness 10000) in paragraph at lines 24788--24788 [231] Overfull \hbox (10.35059pt too wide) in paragraph at lines 24933--24935 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 24953--24953 [] Underfull \hbox (badness 10000) in paragraph at lines 24953--24953 [232 <./inheritance-24c8292409e1445cdb6845a52382212d7e92c01e.pdf>] [233 <./inhe ritance-5ab894cffd2fa556ae008811ab2180a77bad0f28.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25098--25100 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25118--25118 [] Underfull \hbox (badness 10000) in paragraph at lines 25118--25118 [234] Underfull \hbox (badness 10000) in paragraph at lines 25258--25258 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 25258--25258 \T1/ptm/m/it/10 base- Overfull \hbox (8.5344pt too wide) in paragraph at lines 25258--25258 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 25273--25275 [] [235 <./inheritance-c1084573efaa43564fa1ae07f46d25cc8f963757.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25321--25321 [] Underfull \hbox (badness 10000) in paragraph at lines 25321--25321 [236] ! Dimension too large. \wd \@tempboxa l.25426 ...7879159773146f810da5d5980ce6282233.pdf} ! Dimension too large. b l.25426 ...7879159773146f810da5d5980ce6282233.pdf} Overfull \hbox (9.03467pt too wide) in paragraph at lines 25479--25479 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Overfull \hbox (6.9048pt too wide) in paragraph at lines 25479--25479 \T1/ptm/m/it/10 base- Overfull \hbox (32.5344pt too wide) in paragraph at lines 25479--25479 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) [237 <./inheritance-0997337879159773146f810da5d5980ce6282233.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25494--25496 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25514--25514 [] Underfull \hbox (badness 10000) in paragraph at lines 25514--25514 [238] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25669--25671 [] [239 <./inheritance-8758bd0939b729a22a0252b57e36eedfb539fd07.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25717--25717 [] Underfull \hbox (badness 10000) in paragraph at lines 25717--25717 [240] Overfull \hbox (10.35059pt too wide) in paragraph at lines 25890--25892 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 25910--25910 [] Underfull \hbox (badness 10000) in paragraph at lines 25910--25910 [241 <./inheritance-9b7f63219afca5e90c0726d96b6a998074c6a421.pdf>] [242 <./inhe ritance-9f8ecc7da295adf9c012b4fdbcb3f8a3130de2f9.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26055--26057 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26075--26075 [] Underfull \hbox (badness 10000) in paragraph at lines 26075--26075 [243] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26220--26222 [] [244 <./inheritance-ed58abc1c06f54edc851bc2bde703b2e6309d862.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26240--26240 [] Underfull \hbox (badness 10000) in paragraph at lines 26240--26240 [245 <./inheritance-fa116752dcae6d5557b39b7b054021fa94048e51.pdf>] 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 [246] [247] Underfull \hbox (badness 10000) in paragraph at lines 26601--26601 []\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 26616--26618 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26636--26636 [] Underfull \hbox (badness 10000) in paragraph at lines 26636--26636 [248 <./inheritance-f5288b1dc0d3c0c5d26ad685194e4c34e681000a.pdf>] [249 <./inhe ritance-660a3479d904c386ef19366214bac9b61d45e64b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 26791--26793 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 26839--26839 [] Underfull \hbox (badness 10000) in paragraph at lines 26839--26839 [250] [251 <./inheritance-1bb81c65d28feccfe3174d5bc621c556342230d7.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27012--27014 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27032--27032 [] Underfull \hbox (badness 10000) in paragraph at lines 27032--27032 [252] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27187--27189 [] [253 <./inheritance-0a82146073bf0cb6f4ffb1a1bbfc6b0b93b9ce32.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27235--27235 [] Underfull \hbox (badness 10000) in paragraph at lines 27235--27235 [254] Underfull \hbox (badness 10000) in paragraph at lines 27393--27393 []\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 27408--27410 [] [255 <./inheritance-c6fe7a9e1ccce3dd2db3e89f4907d83734efaa28.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27428--27428 [] Underfull \hbox (badness 10000) in paragraph at lines 27428--27428 [256 <./inheritance-ac7be532b2cdc0b1842f38b464b6d0942c6d5702.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 27558--27558 []\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 27573--27575 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27593--27593 [] Underfull \hbox (badness 10000) in paragraph at lines 27593--27593 [257] Underfull \hbox (badness 10000) in paragraph at lines 27723--27723 []\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 27738--27740 [] [258 <./inheritance-3d24e0619b3facedc2f2547c9917f2719cc4e1e0.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27758--27758 [] Underfull \hbox (badness 10000) in paragraph at lines 27758--27758 [259 <./inheritance-354924292793055163636a33f56479aefb231368.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 27913--27915 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 27961--27961 [] Underfull \hbox (badness 10000) in paragraph at lines 27961--27961 [260] [261] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28134--28136 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28154--28154 [] Underfull \hbox (badness 10000) in paragraph at lines 28154--28154 [262 <./inheritance-468bde00b99ea354efb5a7810fac41db6069fb5e.pdf>] [263 <./inhe ritance-dad27b24eaaae2d6ed8da7cfd9ef96062c303124.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28299--28301 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28319--28319 [] Underfull \hbox (badness 10000) in paragraph at lines 28319--28319 [264] Underfull \hbox (badness 10000) in paragraph at lines 28449--28449 []\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 28464--28466 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28484--28484 [] Underfull \hbox (badness 10000) in paragraph at lines 28484--28484 [265 <./inheritance-36f033894018f28005f000e716a8e91edb6821a2.pdf>] [266 <./inhe ritance-88c087e0b0c8cf04d6d68f223cd77d8eb19c6112.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28697--28699 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28717--28717 [] Underfull \hbox (badness 10000) in paragraph at lines 28717--28717 [267] Overfull \hbox (10.35059pt too wide) in paragraph at lines 28862--28864 [] [268 <./inheritance-573a98b5538bb382f0c340507beffabe55206907.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 28882--28882 [] Underfull \hbox (badness 10000) in paragraph at lines 28882--28882 [269 <./inheritance-9c8edc5a96ae550aec0bdf3c480c16441986fe81.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29027--29029 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29047--29047 [] Underfull \hbox (badness 10000) in paragraph at lines 29047--29047 [270] Underfull \hbox (badness 10000) in paragraph at lines 29179--29179 []\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 29194--29196 [] [271 <./inheritance-0610dba8b00437887923347e52070007820b9b74.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29214--29214 [] Underfull \hbox (badness 10000) in paragraph at lines 29214--29214 [272 <./inheritance-0aa1e63f6b1fbda5d575c91a8fea9cee78fa2a6b.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29359--29361 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29379--29379 [] Underfull \hbox (badness 10000) in paragraph at lines 29379--29379 [273] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29524--29526 [] [274 <./inheritance-45cd3b808dbcf97606efe92272453816698fc213.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29544--29544 [] Underfull \hbox (badness 10000) in paragraph at lines 29544--29544 [275 <./inheritance-6b580afbd560f64ab65a227b35d3832ab50ce7f8.pdf>] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29689--29691 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29709--29709 [] Underfull \hbox (badness 10000) in paragraph at lines 29709--29709 [276] Overfull \hbox (10.35059pt too wide) in paragraph at lines 29854--29856 [] [277 <./inheritance-ba517e93eedf1d18ade17888fb9f4c330277dc96.pdf>] Overfull \hbox (69.69008pt too wide) in paragraph at lines 29874--29874 [] Underfull \hbox (badness 10000) in paragraph at lines 29874--29874 [278 <./inheritance-32d2de89f420ff5ea5bda37c2c266e21af437526.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30006--30006 []\T1/ptm/m/it/10 score\T1/ptm/m/n/10 , Underfull \hbox (badness 10000) in paragraph at lines 30006--30006 \T1/ptm/m/it/10 base- Overfull \hbox (14.5344pt too wide) in paragraph at lines 30006--30006 \T1/ptm/m/it/10 line_score\T1/pcr/m/n/10 ) Overfull \hbox (10.35059pt too wide) in paragraph at lines 30021--30023 [] Overfull \hbox (69.69008pt too wide) in paragraph at lines 30041--30041 [] Underfull \hbox (badness 10000) in paragraph at lines 30041--30041 [279] [280 <./inheritance-f6b5e1417671de19be5a5758af8abc6d85213de5.pdf>] Overfull \hbox (42.52957pt too wide) in paragraph at lines 30211--30213 [] [281 <./inheritance-b4ccc6d2b69ea8a8ef821207dc8f874c22059c02.pdf>] [282 <./inhe ritance-35d8976718f88bce869791a7b18f94ed40bd71a9.pdf>] [283] [284 <./inheritanc e-b8926b63cc15d28543ac6c6186e6de597d3d14c5.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30654--30654 []\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- [285 <./inheritance-d52265ce6b70bacb3efbc222bc74bfcbbd9d9a1b.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30809--30809 []\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 30809--30809 \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- [286 <./inheritance-9dadd36a2857e3e3437928a0f69d7d6f1694299c.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 30866--30866 []\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 , [287] [288] [289 <./inheritance-ce2cc7e8eb49e1288902b4442288f97c01da4366.pdf> < ./inheritance-23dcce8b32ee58dc4411623c6d827e4ed8c06ecb.pdf pdfTeX warning: pdflatex (file ./inheritance-23dcce8b32ee58dc4411623c6d827e4ed8 c06ecb.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [290 <./inheritance-c5c3fa11c957f0f5db50f9456b56f49302c8185b.pdf>] [291] [292 <./inheritance-3dd6ad1c60d486768ddbf033054ae0f7a5678668.pdf>] [293 <./inhe ritance-ccede6c85c8b01401fa046af173441f461230c07.pdf>] [294 <./inheritance-0e5c 77bd006b3e10842689dab93e3f80fa0409bc.pdf>] Underfull \hbox (badness 10000) in paragraph at lines 31708--31710 []\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 [295 <./inheritance-ad9e319879ca5fb390c572d86d24c3d6fb199664.pdf>] [296 <./inhe ritance-cb10cff638531097a1616a94113ce922e5196aa1.pdf>] [297] [298 <./inheritanc e-c3d86f6de8b1f55b76372b187e4b9c2f36e10589.pdf>] [299 <./inheritance-7466712241 d9b0593b81f30bcee4abc573667b63.pdf>] [300 <./inheritance-9d10608233a98760263ec8 1cac5b12a4933cb326.pdf>] [301 <./inheritance-583c8bc4f9e5d2e25113d5cd7e817631d2 3c4ff3.pdf> <./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663d5e1cc.pdf pdfTeX warning: pdflatex (file ./inheritance-d66d5b3cf14cf83dfe0492c0832ab9e663 d5e1cc.pdf): PDF inclusion: multiple pdfs with page group included in a single page >] [302 <./inheritance-9a70c345606d6bf40f5dce88eff55bfa0176008c.pdf>] [303] [304] Chapter 6. [305] [306] Underfull \hbox (badness 10000) in paragraph at lines 32990--32993 [] [307] [308] [309] Overfull \hbox (41.08026pt too wide) in paragraph at lines 33266--33267 []\T1/ptm/m/n/10 Moved \T1/ptm/m/it/10 evalml.model_families.list_model_familie s \T1/ptm/m/n/10 to \T1/ptm/m/it/10 evalml.pipelines.components.allowed_model_f amilies [310] Underfull \hbox (badness 10000) in paragraph at lines 33330--33331 []\T1/pcr/m/n/10 evalml.model_families.list_model_families \T1/ptm/m/n/10 has b een moved to [311] [312] Underfull \hbox (badness 5374) in paragraph at lines 33600--33601 []\T1/ptm/m/n/10 Rename \T1/pcr/m/n/10 handle_component \T1/ptm/m/n/10 to \T1/p cr/m/n/10 handle_component_class\T1/ptm/m/n/10 . Now stan-dard-izes to Underfull \hbox (badness 10000) in paragraph at lines 33606--33607 []\T1/ptm/m/n/10 Pipelines' and clas-si-fiers' \T1/pcr/m/n/10 feature_importanc es \T1/ptm/m/n/10 is re-named \T1/ptm/m/it/10 fea-ture_importance\T1/ptm/m/n/10 , [313] Underfull \hbox (badness 5403) in paragraph at lines 33641--33642 []\T1/ptm/m/n/10 Added precicion-recall curve met-rics and plot for bi-nary cla s-si-fi-ca-tion prob-lems in [314] [315] [316] [317] [318] Underfull \hbox (badness 8113) in paragraph at lines 34197--34198 []\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 34203--34204 []\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 [319] [320] [321] [322] [323] (./feature-labs-inc-evalml.ind [324] 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 (17.19112pt 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. LabelLeakageDataCheck Overfull \hbox (7.95114pt too wide) 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. NoVarianceDataCheck Underfull \hbox (badness 6348) 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. OutliersDataCheck 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 (9.46088pt 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.DropColumns Overfull \hbox (26.69058pt 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.DropNullColumns Overfull \hbox (33.24988pt 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.ElasticNetClassifier Overfull \hbox (34.69006pt 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.ElasticNetRegressor [325] Underfull \hbox (badness 10000) 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.Estimator Overfull \hbox (34.9501pt 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.ExtraTreesClassifier Overfull \hbox (36.39029pt too wide) in paragraph at lines 91--93 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.ExtraTreesRegressor Underfull \hbox (badness 10000) 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.Imputer Overfull \hbox (34.36026pt 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.LightGBMClassifier Overfull \hbox (19.69048pt too wide) in paragraph at lines 97--99 []\T1/pcr/m/n/10 __init__() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.LinearRegressor Overfull \hbox (67.3796pt 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.LogisticRegressionClassifier Overfull \hbox (18.78084pt 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.OneHotEncoder Overfull \hbox (30.21062pt 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.PerColumnImputer Overfull \hbox (74.44995pt 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.RFClassifierSelectFromModel Overfull \hbox (75.89014pt 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.RFRegressorSelectFromModel Overfull \hbox (49.60023pt 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.RandomForestClassifier Overfull \hbox (51.04042pt 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.RandomForestRegressor Overfull \hbox (12.68059pt 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.SelectColumns Overfull \hbox (12.12065pt 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.SimpleImputer Overfull \hbox (15.09074pt 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.StandardScaler Overfull \hbox (10.81046pt 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.TextFeaturizer Overfull \hbox (3.10078pt 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.Transformer Overfull \hbox (27.69035pt 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.XGBoostClassifier Overfull \hbox (29.13054pt 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.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 128--129 []\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 131--133 []\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 133--135 []\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 135--137 []\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 143--144 []\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 146--148 []\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 148--150 []\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 151--153 []\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 157--159 []\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 163--164 []\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 164--165 []\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 165--166 []\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 166--168 []\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 168--169 []\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 169--170 []\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 170--172 []\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 174--176 []\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 176--177 []\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 180--182 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 180--182 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyBinary class Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 182--184 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 184--186 []\T1/pcr/m/n/10 calculate_percent_difference() [326] Underfull \hbox (badness 10000) in paragraph at lines 186--188 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 188--190 []\T1/pcr/m/n/10 calculate_percent_difference() 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.AUCWeighted 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 192--194 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 194--196 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (2.00027pt too wide) in paragraph at lines 194--196 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 196--198 []\T1/pcr/m/n/10 calculate_percent_difference() Overfull \hbox (5.49986pt too wide) in paragraph at lines 196--198 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective 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.CostBenefitMatrix 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 202--204 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 204--206 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 204--206 \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 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.F1Micro class method\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 208--210 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 210--212 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 6188) in paragraph at lines 210--212 \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 212--214 []\T1/pcr/m/n/10 calculate_percent_difference() 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.LogLossBinary class Underfull \hbox (badness 10000) in paragraph at lines 216--218 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 216--218 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossMulticlass class Underfull \hbox (badness 10000) in paragraph at lines 218--220 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 220--222 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MaxError class method\T1/ptm/ m/n/10 ), 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 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.MCCMulticlass 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 226--228 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 228--230 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 5985) in paragraph at lines 228--230 \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 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() Overfull \hbox (19.9494pt too wide) in paragraph at lines 232--234 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive 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.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 236--238 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 236--238 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Precision 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 238--240 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMacro class Underfull \hbox (badness 10000) in paragraph at lines 240--242 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 240--242 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.PrecisionMicro class 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.PrecisionWeighted 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 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.Recall class method\T1/ptm/m/ n/10 ), 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 250--252 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 252--254 []\T1/pcr/m/n/10 calculate_percent_difference() Underfull \hbox (badness 10000) in paragraph at lines 252--254 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RecallWeighted class 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.RegressionObjective class 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 256--258 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError 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 258--260 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError [327] Underfull \hbox (badness 10000) in paragraph at lines 260--262 []\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 262--264 []\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 264--266 []\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 266--268 []\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 268--269 []\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 269--270 []\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 270--272 []\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 276--278 []\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 278--279 []\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 279--281 []\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 281--283 []\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 283--285 []\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 285--287 []\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 287--289 []\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 289--291 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 291--293 []\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 293--295 []\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 295--297 []\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 297--299 []\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 299--300 []\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 300--302 []\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 302--304 []\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 304--305 []\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 305--307 []\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 307--309 []\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 309--311 []\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 311--313 []\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 313--315 []\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 315--317 []\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 317--319 []\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 319--321 []\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 321--323 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compo nents.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 329--331 []\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 331--333 []\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 333--335 []\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 335--337 []\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 337--339 []\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 339--341 []\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 341--343 []\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 343--345 []\T1/pcr/m/n/10 clone() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multi classClassificationPipeline Overfull \hbox (27.96046pt too wide) in paragraph at lines 347--349 []\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 349--351 []\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 351--353 []\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 353--355 []\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 355--357 []\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 357--359 []\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 359--360 []\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 360--362 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 360--362 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline [328] Underfull \hbox (badness 10000) in paragraph at lines 362--364 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 362--364 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 364--366 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 364--366 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 366--368 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 366--368 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 368--370 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 368--370 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 370--372 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (15.28014pt too wide) in paragraph at lines 370--372 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 372--374 []\T1/pcr/m/n/10 compute_estimator_features() Underfull \hbox (badness 10000) in paragraph at lines 372--374 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 374--376 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (13.27988pt too wide) in paragraph at lines 374--376 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 376--378 []\T1/pcr/m/n/10 compute_estimator_features() Overfull \hbox (11.07965pt too wide) in paragraph at lines 376--378 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne 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.PipelineBase method\T1/ptm/m/n /10 ), 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 382--384 []\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 386--388 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 388--390 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10 custom_hyperparameters Underfull \hbox (badness 10000) in paragraph at lines 394--396 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10 custom_hyperparameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 396--398 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (3.96046pt too wide) in paragraph at lines 398--400 []\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 400--402 []\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 402--404 []\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 404--406 []\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 408--410 []\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 410--412 []\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 412--414 []\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 414--416 []\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 416--417 []\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 425--426 []\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 428--430 []\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 430--432 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 430--432 \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 432--433 []\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 433--435 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 433--435 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 435--437 []\T1/pcr/m/n/10 decision_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 435--437 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 437--439 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 439--440 []\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 440--442 []\T1/pcr/m/n/10 decision_function() [329] Underfull \hbox (badness 10000) in paragraph at lines 442--444 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 442--444 \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 444--446 []\T1/pcr/m/n/10 decision_function() Underfull \hbox (badness 10000) in paragraph at lines 444--446 \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 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.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 450--451 []\T1/pcr/m/n/10 decision_function() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.obj ectives.Recall Underfull \hbox (badness 10000) in paragraph at lines 451--453 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 451--453 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 453--455 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 453--455 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 455--457 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 455--457 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 457--459 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.12015pt too wide) in paragraph at lines 457--459 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 459--461 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.56033pt too wide) in paragraph at lines 459--461 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 461--463 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (6.91019pt too wide) in paragraph at lines 461--463 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 463--465 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.35037pt too wide) in paragraph at lines 463--465 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 465--467 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.70023pt too wide) in paragraph at lines 465--467 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 467--469 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 467--469 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 469--471 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (4.79056pt too wide) in paragraph at lines 469--471 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 471--473 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (11.34985pt too wide) in paragraph at lines 471--473 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 473--475 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.79004pt too wide) in paragraph at lines 473--475 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 475--477 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.05008pt too wide) in paragraph at lines 475--477 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (14.49026pt too wide) in paragraph at lines 477--479 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 479--481 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 479--481 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 481--483 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (12.46024pt too wide) in paragraph at lines 481--483 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 483--485 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 483--485 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 485--487 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (45.47957pt too wide) in paragraph at lines 485--487 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 487--489 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 487--489 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 489--491 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (8.3106pt too wide) in paragraph at lines 489--491 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 491--493 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (27.70021pt too wide) in paragraph at lines 491--493 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 493--495 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (29.1404pt too wide) in paragraph at lines 493--495 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 495--497 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (52.54993pt too wide) in paragraph at lines 495--497 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 497--499 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (53.99011pt too wide) in paragraph at lines 497--499 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 499--501 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 499--501 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 501--503 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 501--503 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer 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.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 505--507 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 505--507 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 507--509 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (5.79033pt too wide) in paragraph at lines 507--509 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 509--511 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (7.23051pt too wide) in paragraph at lines 509--511 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 511--513 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (15.28014pt too wide) in paragraph at lines 511--513 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 513--515 []\T1/pcr/m/n/10 default_parameters Underfull \hbox (badness 10000) in paragraph at lines 513--515 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline [330] Underfull \hbox (badness 10000) in paragraph at lines 515--517 []\T1/pcr/m/n/10 default_parameters Overfull \hbox (13.27988pt too wide) in paragraph at lines 515--517 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Overfull \hbox (12.41pt too wide) in paragraph at lines 520--522 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineMulticlassPipeline Overfull \hbox (14.41026pt too wide) in paragraph at lines 522--524 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Ba selineRegressionPipeline Overfull \hbox (18.53014pt too wide) in paragraph at lines 524--526 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Bi naryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 526--528 []\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 528--530 []\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 530--532 []\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 532--534 []\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 534--536 []\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 536--538 []\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 538--540 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.DateTimeFeaturizer Overfull \hbox (9.46088pt too wide) in paragraph at lines 540--542 []\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 542--544 []\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 544--546 []\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 546--548 []\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 548--550 []\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 550--552 []\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 552--554 []\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 554--555 []\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 555--557 []\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 557--559 []\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 559--561 []\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 561--563 []\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 563--565 []\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 565--567 []\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 567--569 []\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 569--571 []\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 571--573 []\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 573--575 []\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 575--577 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.SimpleImputer Overfull \hbox (15.09074pt too wide) in paragraph at lines 577--579 []\T1/pcr/m/n/10 describe() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.co mponents.StandardScaler Overfull \hbox (10.81046pt too wide) in paragraph at lines 579--581 []\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 581--583 []\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 583--585 []\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 585--587 []\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 587--589 []\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 589--591 []\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 591--593 []\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 593--595 []\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 596--597 []\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 597--598 []\T1/pcr/m/n/10 describe_pipeline() Underfull \hbox (badness 10000) in paragraph at lines 597--598 \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 598--600 []\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 600--602 []\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 603--604 []\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 607--609 []\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 609--611 []\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 612--614 []\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 612--614 \T1/ptm/m/it/10 evalml.model_understanding.prediction_explanations\T1/ptm/m/n/1 0 ), [331] Underfull \hbox (badness 10000) in paragraph at lines 614--616 []\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 614--616 \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 616--618 \T1/ptm/m/it/10 ule evalml.model_understanding.prediction_explanations\T1/ptm/m /n/10 ), Underfull \hbox (badness 10000) in paragraph at lines 619--621 []\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 621--623 []\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 630--631 []\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 631--633 []\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 633--635 []\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 635--637 []\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 646--648 []\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 648--650 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 650--651 []\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 653--655 []\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 655--657 []\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 657--658 []\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 658--660 []\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 660--662 []\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 663--665 []\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 665--667 []\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 667--669 []\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 669--671 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.OneHotEncoder Overfull \hbox (19.60023pt too wide) in paragraph at lines 673--675 []\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 675--677 []\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 677--679 []\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 679--681 []\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 681--683 []\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 683--685 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compone nts.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 685--687 []\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 687--689 []\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 689--690 []\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 694--696 []\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 696--698 []\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 698--700 []\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 700--702 []\T1/pcr/m/n/10 fit() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Multicl assClassificationPipeline Overfull \hbox (63.60025pt too wide) in paragraph at lines 704--706 []\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 706--708 []\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 708--710 []\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 710--712 []\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 712--714 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.OneHotEncoder [332] Overfull \hbox (60.21062pt too wide) in paragraph at lines 714--716 []\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 716--718 []\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 718--720 []\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 720--722 []\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 722--724 []\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 724--726 []\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 726--728 []\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 728--730 []\T1/pcr/m/n/10 fit_transform() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.Transformer Overfull \hbox (27.96046pt too wide) in paragraph at lines 734--736 []\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 736--738 []\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 738--740 []\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 740--742 []\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 742--744 []\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 744--746 []\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 746--748 []\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 748--750 []\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 750--752 []\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 752--753 []\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 753--755 []\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 755--757 []\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 757--759 []\T1/pcr/m/n/10 get_feature_names() Underfull \hbox (badness 10000) in paragraph at lines 757--759 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Overfull \hbox (80.44995pt too wide) in paragraph at lines 759--761 []\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 761--763 []\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 763--764 []\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 766--768 []\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 772--774 []\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 774--775 []\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 775--777 []\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 777--779 []\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 779--781 []\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 781--783 []\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 785--787 []\T1/pcr/m/n/10 graph_binary_objective_vs_threshold() Underfull \hbox (badness 10000) in paragraph at lines 787--789 []\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 789--791 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 789--791 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 791--793 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 791--793 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 793--795 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 793--795 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 795--797 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 795--797 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.BinaryClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 797--799 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 797--799 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ClassificationPipeline Underfull \hbox (badness 10000) in paragraph at lines 799--801 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (15.28014pt too wide) in paragraph at lines 799--801 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBaselineRegressionPipeline Underfull \hbox (badness 10000) in paragraph at lines 801--803 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 801--803 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineBinaryPipeline Underfull \hbox (badness 10000) in paragraph at lines 803--805 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (13.27988pt too wide) in paragraph at lines 803--805 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.ModeBaselineMulticlassPipeline Underfull \hbox (badness 10000) in paragraph at lines 805--807 []\T1/pcr/m/n/10 graph_feature_importance() Overfull \hbox (11.07965pt too wide) in paragraph at lines 805--807 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MulticlassClassificationPipeli ne Underfull \hbox (badness 10000) in paragraph at lines 807--809 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 807--809 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.PipelineBase method\T1/ptm/m/n /10 ), [333] Underfull \hbox (badness 10000) in paragraph at lines 809--811 []\T1/pcr/m/n/10 graph_feature_importance() Underfull \hbox (badness 10000) in paragraph at lines 815--817 []\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 821--823 []\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 823--825 []\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 825--826 []\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 826--828 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.12015pt too wide) in paragraph at lines 826--828 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 828--830 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.56033pt too wide) in paragraph at lines 828--830 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 830--832 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (6.91019pt too wide) in paragraph at lines 830--832 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 832--834 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.35037pt too wide) in paragraph at lines 832--834 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 834--836 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.70023pt too wide) in paragraph at lines 834--836 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 836--838 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 836--838 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropColumns Underfull \hbox (badness 10000) in paragraph at lines 838--840 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (4.79056pt too wide) in paragraph at lines 838--840 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.DropNullColumns Underfull \hbox (badness 10000) in paragraph at lines 840--842 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (11.34985pt too wide) in paragraph at lines 840--842 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 842--844 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.79004pt too wide) in paragraph at lines 842--844 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 844--846 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (13.05008pt too wide) in paragraph at lines 844--846 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 846--848 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (14.49026pt too wide) in paragraph at lines 846--848 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 848--850 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 848--850 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.Imputer at- Underfull \hbox (badness 10000) in paragraph at lines 850--852 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (12.46024pt too wide) in paragraph at lines 850--852 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 852--854 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 852--854 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 854--856 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (45.47957pt too wide) in paragraph at lines 854--856 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 856--858 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 856--858 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.OneHotEncoder Underfull \hbox (badness 10000) in paragraph at lines 858--860 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (8.3106pt too wide) in paragraph at lines 858--860 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.PerColumnImputer Underfull \hbox (badness 10000) in paragraph at lines 860--862 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (27.70021pt too wide) in paragraph at lines 860--862 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 862--864 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (29.1404pt too wide) in paragraph at lines 862--864 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or Underfull \hbox (badness 10000) in paragraph at lines 864--866 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (52.54993pt too wide) in paragraph at lines 864--866 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFClassifierSelectF romModel Underfull \hbox (badness 10000) in paragraph at lines 866--868 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (53.99011pt too wide) in paragraph at lines 866--868 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RFRegressorSelectFr omModel Underfull \hbox (badness 10000) in paragraph at lines 868--870 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 868--870 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SelectColumns Underfull \hbox (badness 10000) in paragraph at lines 870--872 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 870--872 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 872--874 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 872--874 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.StandardScaler Underfull \hbox (badness 10000) in paragraph at lines 874--876 []\T1/pcr/m/n/10 hyperparameter_ranges Underfull \hbox (badness 10000) in paragraph at lines 874--876 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.TextFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 876--878 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (5.79033pt too wide) in paragraph at lines 876--878 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 878--880 []\T1/pcr/m/n/10 hyperparameter_ranges Overfull \hbox (7.23051pt too wide) in paragraph at lines 878--880 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Overfull \hbox (27.96046pt too wide) in paragraph at lines 880--882 []\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 882--884 []\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 884--886 []\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 886--888 []\T1/pcr/m/n/10 hyperparameters \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MeanBaselineRegressionPipeline [334] Overfull \hbox (50.73036pt too wide) in paragraph at lines 888--890 []\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 890--892 []\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 898--899 []\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 899--901 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 899--901 \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 901--903 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 901--903 \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 903--905 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 905--907 []\T1/pcr/m/n/10 is_search_space_exhausted() Underfull \hbox (badness 10000) in paragraph at lines 907--909 []\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 912--913 []\T1/pcr/m/n/10 LabelLeakageDataCheck \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 914--916 []\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 916--917 []\T1/pcr/m/n/10 LinearRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 920--922 []\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 922--924 []\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 928--930 []\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 930--932 []\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 932--934 []\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 934--936 []\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 938--940 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 940--942 []\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 942--944 []\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 944--946 []\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 946--948 []\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 950--952 []\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 952--954 []\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 954--956 []\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 956--958 []\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 960--962 []\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 964--966 []\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 966--968 []\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 968--970 []\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 970--972 []\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 972--974 []\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 974--976 []\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 976--978 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 978--980 []\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 980--982 []\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 982--984 []\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 984--986 []\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 986--988 []\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 988--990 []\T1/pcr/m/n/10 load() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBa selineRegressionPipeline [335] Overfull \hbox (11.1799pt too wide) in paragraph at lines 992--994 []\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 994--996 []\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 997--999 []\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 1005--1007 []\T1/pcr/m/n/10 LogisticRegressionClassifier \T1/ptm/m/n/10 (\T1/ptm/m/it/10 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1017--1019 []\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 1023--1025 []\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 1025--1027 []\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 1027--1028 []\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 1028--1030 []\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 1030--1032 []\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 1032--1034 []\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 1034--1036 []\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 1036--1038 []\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 1038--1040 []\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 1040--1042 []\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 1042--1044 []\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 1044--1046 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.DateTimeFeaturizer Overfull \hbox (21.46088pt too wide) in paragraph at lines 1046--1048 []\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 1048--1050 []\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 1050--1052 []\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 1052--1054 []\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 1054--1056 []\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 1056--1058 []\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 1060--1062 []\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 1062--1064 []\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 1064--1066 []\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 1066--1068 []\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 1068--1070 []\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 1070--1072 []\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 1072--1074 []\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 1074--1076 []\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 1076--1078 []\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 1078--1080 []\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 1080--1082 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. components.SimpleImputer Overfull \hbox (27.09074pt too wide) in paragraph at lines 1082--1084 []\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 1084--1086 []\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 1086--1088 []\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 1088--1090 []\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 1090--1092 []\T1/pcr/m/n/10 model_family \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines. MeanBaselineRegressionPipeline [336] Overfull \hbox (32.73036pt too wide) in paragraph at lines 1092--1094 []\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 1094--1096 []\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 1098--1100 []\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 1105--1107 []\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 1108--1110 []\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 1110--1111 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks.IDColu mnsDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1115--1117 []\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 1118--1119 []\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 1126--1128 []\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 1128--1130 []\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 1130--1132 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.CatBoostClassifier Underfull \hbox (badness 6927) in paragraph at lines 1136--1138 []\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 1138--1140 []\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 1153--1155 []\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 1159--1161 []\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 1161--1163 []\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 1163--1165 []\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 1165--1167 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.componen ts.RFRegressorSelectFromModel Underfull \hbox (badness 10000) in paragraph at lines 1175--1177 []\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 1177--1179 []\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 1179--1181 []\T1/pcr/m/n/10 name \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.MeanBase lineRegressionPipeline Overfull \hbox (54.5106pt too wide) in paragraph at lines 1189--1191 []\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 1191--1193 []\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 1193--1195 []\T1/pcr/m/n/10 normalize_confusion_matrix() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 i n mod-ule [337] Underfull \hbox (badness 10000) in paragraph at lines 1195--1196 []\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 1196--1197 []\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 1200--1202 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1200--1202 \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 1202--1204 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1202--1204 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1204--1205 []\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 1205--1207 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1207--1209 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1209--1211 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AUCWeighted method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1211--1213 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1213--1215 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1213--1215 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1215--1217 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1215--1217 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1217--1219 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1219--1221 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ExpVariance method\T1/ptm/m/n /10 ), Underfull \hbox (badness 10000) in paragraph at lines 1221--1222 []\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 1222--1224 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1224--1226 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1226--1228 \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 1228--1230 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1230--1232 \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 1232--1234 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1232--1234 \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 1234--1236 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1236--1237 []\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 1237--1239 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1239--1241 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MCCBinary method\T1/ptm/m/n/1 0 ), Underfull \hbox (badness 10000) in paragraph at lines 1241--1243 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1241--1243 \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 1243--1245 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1243--1245 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1245--1247 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1247--1248 []\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 1248--1250 []\T1/pcr/m/n/10 objective_function() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1248--1250 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1250--1252 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.ObjectiveBase class Underfull \hbox (badness 10000) in paragraph at lines 1252--1254 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1254--1256 \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 1256--1258 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1256--1258 \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 1258--1260 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1260--1261 []\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 1261--1262 []\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 1262--1264 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1262--1264 \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 1264--1266 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1264--1266 \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 1266--1268 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1266--1268 \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 1268--1270 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1268--1270 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective class Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1270--1272 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError [338] Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 []\T1/pcr/m/n/10 objective_function() Underfull \hbox (badness 10000) in paragraph at lines 1272--1274 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1275--1276 []\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 1276--1278 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1276--1278 \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 1278--1279 []\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 1279--1281 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1279--1281 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1281--1283 []\T1/pcr/m/n/10 optimize_threshold() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1281--1283 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1283--1285 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1285--1286 []\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 1286--1288 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1288--1290 \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 1290--1292 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1290--1292 \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 1292--1294 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1292--1294 \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 1294--1296 []\T1/pcr/m/n/10 optimize_threshold() Underfull \hbox (badness 10000) in paragraph at lines 1296--1297 []\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 1301--1302 []\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 1304--1306 []\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 1309--1311 []\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 1311--1313 []\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 1313--1315 []\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 1315--1317 []\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 1317--1319 []\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 1319--1321 []\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 1321--1323 []\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 1323--1325 []\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 1325--1327 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.CatBoostRegressor Overfull \hbox (27.24988pt too wide) in paragraph at lines 1327--1329 []\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 1329--1331 []\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 1331--1333 []\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 1333--1335 []\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 1335--1337 []\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 1337--1339 []\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 1339--1341 []\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 1341--1343 []\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 1343--1345 []\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 1345--1347 []\T1/pcr/m/n/10 predict() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.com ponents.RandomForestRegressor Overfull \hbox (21.69035pt too wide) in paragraph at lines 1347--1349 []\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 1349--1351 []\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 1351--1353 []\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 1353--1355 []\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 1355--1357 []\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 1357--1359 []\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 1360--1361 []\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 1361--1363 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineBinaryPipeline [339] Overfull \hbox (42.41pt too wide) in paragraph at lines 1363--1365 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.BaselineMulticlassPipeline Overfull \hbox (48.53014pt too wide) in paragraph at lines 1365--1367 []\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 1367--1369 []\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 1369--1371 []\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 1371--1373 []\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 1373--1375 []\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 1375--1377 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.CatBoostRegressor Overfull \hbox (63.24988pt too wide) in paragraph at lines 1377--1379 []\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 1379--1381 []\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 1381--1383 []\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 1383--1385 []\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 1385--1387 []\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 1387--1389 []\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 1389--1391 []\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 1391--1393 []\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 1393--1395 []\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 1395--1397 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.components.RandomForestRegressor Overfull \hbox (57.69035pt too wide) in paragraph at lines 1397--1399 []\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 1399--1401 []\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 1401--1403 []\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 1403--1405 []\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 1405--1407 []\T1/pcr/m/n/10 predict_proba() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelin es.MulticlassClassificationPipeline Overfull \hbox (16.1225pt too wide) in paragraph at lines 1407--1409 []\T1/pcr/m/n/10 print_objective_names_allowed_in_automl() Overfull \hbox (9.96046pt too wide) in paragraph at lines 1409--1411 []\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 1411--1413 []\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 1413--1415 []\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 1415--1417 []\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 1417--1419 []\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 1419--1421 []\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 1421--1423 []\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 1423--1425 []\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 1425--1427 []\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 1427--1428 []\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 1428--1430 []\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 1432--1433 []\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 1439--1441 []\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 1441--1443 []\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 1450--1452 []\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 1452--1454 []\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 1454--1455 []\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 1455--1456 []\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 1456--1457 []\T1/pcr/m/n/10 RootMeanSquaredLogError \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in Underfull \hbox (badness 10000) in paragraph at lines 1461--1462 []\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 1462--1464 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.Baseli neMulticlassPipeline [340] Underfull \hbox (badness 10000) in paragraph at lines 1464--1466 []\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 1468--1469 []\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 1469--1471 []\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 1471--1473 []\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 1473--1475 []\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 1475--1477 []\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 1479--1481 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.DateTimeFeaturizer Underfull \hbox (badness 10000) in paragraph at lines 1481--1482 []\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 1482--1484 []\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 1484--1486 []\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 1486--1488 []\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 1488--1489 []\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 1489--1491 []\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 1491--1493 []\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 1494--1496 []\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 1498--1500 []\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 1502--1504 []\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 1504--1506 []\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 1506--1508 []\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 1508--1510 []\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 1510--1512 []\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 1512--1514 []\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 1514--1516 []\T1/pcr/m/n/10 save() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.compon ents.SimpleImputer Underfull \hbox (badness 10000) in paragraph at lines 1516--1518 []\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 1518--1520 []\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 1520--1521 []\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 1521--1523 []\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 1523--1525 []\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 1525--1527 []\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 1529--1531 []\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 1531--1533 []\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 1536--1537 []\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 1541--1543 []\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 1543--1545 []\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 1545--1547 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.Bina ryClassificationObjective Underfull \hbox (badness 5607) in paragraph at lines 1555--1556 []\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 1556--1557 []\T1/pcr/m/n/10 score() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogL ossMulticlass [341] Underfull \hbox (badness 10000) in paragraph at lines 1561--1562 []\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 1564--1566 []\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 1566--1567 []\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 1570--1571 []\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 1576--1577 []\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 1577--1578 []\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 1578--1580 []\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 1580--1582 []\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 1586--1588 []\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 1588--1589 []\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 1589--1591 []\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 1591--1593 []\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 1593--1595 []\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 1595--1597 []\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 1600--1601 []\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 1601--1602 []\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 1604--1605 []\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 1611--1613 []\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 1613--1615 []\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 1615--1617 []\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 1617--1619 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (4.12015pt too wide) in paragraph at lines 1617--1619 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineClassifier Underfull \hbox (badness 10000) in paragraph at lines 1619--1621 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.56033pt too wide) in paragraph at lines 1619--1621 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.BaselineRegressor Underfull \hbox (badness 10000) in paragraph at lines 1621--1623 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (6.91019pt too wide) in paragraph at lines 1621--1623 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1623--1625 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (8.35037pt too wide) in paragraph at lines 1623--1625 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.CatBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1625--1627 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (11.34985pt too wide) in paragraph at lines 1625--1627 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1627--1629 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.79004pt too wide) in paragraph at lines 1627--1629 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ElasticNetRegressor Underfull \hbox (badness 10000) in paragraph at lines 1629--1631 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (13.05008pt too wide) in paragraph at lines 1629--1631 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesClassifie r Underfull \hbox (badness 10000) in paragraph at lines 1631--1633 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (14.49026pt too wide) in paragraph at lines 1631--1633 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.ExtraTreesRegressor Underfull \hbox (badness 10000) in paragraph at lines 1633--1635 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (12.46024pt too wide) in paragraph at lines 1633--1635 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LightGBMClassifier Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 []\T1/pcr/m/n/10 supported_problem_types Underfull \hbox (badness 10000) in paragraph at lines 1635--1637 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LinearRegressor Underfull \hbox (badness 10000) in paragraph at lines 1637--1639 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (45.47957pt too wide) in paragraph at lines 1637--1639 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.LogisticRegressionC lassifier Underfull \hbox (badness 10000) in paragraph at lines 1639--1641 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (27.70021pt too wide) in paragraph at lines 1639--1641 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestClassif ier Underfull \hbox (badness 10000) in paragraph at lines 1641--1643 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (29.1404pt too wide) in paragraph at lines 1641--1643 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.RandomForestRegress or [342] Underfull \hbox (badness 10000) in paragraph at lines 1643--1645 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (5.79033pt too wide) in paragraph at lines 1643--1645 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostClassifier Underfull \hbox (badness 10000) in paragraph at lines 1645--1647 []\T1/pcr/m/n/10 supported_problem_types Overfull \hbox (7.23051pt too wide) in paragraph at lines 1645--1647 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.pipelines.components.XGBoostRegressor Underfull \hbox (badness 10000) in paragraph at lines 1650--1651 []\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 1651--1652 []\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 1652--1654 []\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 1654--1656 []\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 1656--1658 []\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 1658--1660 []\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 1660--1662 []\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 1662--1664 []\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 1664--1666 []\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 1666--1668 []\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 1668--1670 []\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 1670--1672 []\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 1672--1674 []\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 1674--1676 []\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 1676--1678 []\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 1683--1685 []\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 1686--1687 []\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 1689--1691 []\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 1691--1693 []\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 1693--1695 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. InvalidTargetDataCheck Overfull \hbox (17.19112pt too wide) in paragraph at lines 1695--1697 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. LabelLeakageDataCheck Overfull \hbox (7.95114pt too wide) in paragraph at lines 1697--1699 []\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 1699--1701 []\T1/pcr/m/n/10 validate() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.data_checks. OutliersDataCheck Underfull \hbox (badness 10000) in paragraph at lines 1701--1703 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1701--1703 \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 1703--1705 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1703--1705 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.AccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1705--1706 []\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 1707--1708 []\T1/pcr/m/n/10 validate_inputs() \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objec tives.AUCMicro Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1708--1710 \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 1710--1712 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1710--1712 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyBinary Underfull \hbox (badness 10000) in paragraph at lines 1712--1714 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (2.00027pt too wide) in paragraph at lines 1712--1714 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BalancedAccuracyMulticlass Underfull \hbox (badness 10000) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (5.49986pt too wide) in paragraph at lines 1714--1716 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.BinaryClassificationObjective Underfull \hbox (badness 10000) in paragraph at lines 1716--1718 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1721--1722 []\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 1722--1723 []\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 1725--1726 []\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 1728--1730 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1728--1730 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.LogLossBinary method\T1/ptm/m /n/10 ), [343] Underfull \hbox (badness 10000) in paragraph at lines 1730--1732 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1732--1733 []\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 1733--1734 []\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 1735--1737 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1735--1737 \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 1737--1739 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1737--1739 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1739--1740 []\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 1740--1741 []\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 1741--1743 []\T1/pcr/m/n/10 validate_inputs() Overfull \hbox (19.9494pt too wide) in paragraph at lines 1741--1743 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.MulticlassClassificationObjec tive Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1743--1745 \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 1745--1746 []\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 1746--1748 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1746--1748 \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 1748--1750 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1748--1750 \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 1750--1752 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1753--1754 []\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 1754--1756 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1754--1756 \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 1758--1760 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1758--1760 \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 1760--1762 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1760--1762 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RegressionObjective Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1762--1764 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredError Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 []\T1/pcr/m/n/10 validate_inputs() Underfull \hbox (badness 10000) in paragraph at lines 1764--1766 \T1/ptm/m/n/10 (\T1/ptm/m/it/10 evalml.objectives.RootMeanSquaredLogError Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 []\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 1771--1772 []\T1/pcr/m/n/10 XGBoostRegressor \T1/ptm/m/n/10 (\T1/ptm/m/it/10 class in [344]) (./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 (348 pages, 1761734 bytes). Transcript written on feature-labs-inc-evalml.log. Latexmk: Index file 'feature-labs-inc-evalml.idx' was written Latexmk: Log file says output to 'feature-labs-inc-evalml.pdf' Latexmk: List of undefined refs and citations: Label `user_guide/components:Required-fields' multiply defined Label `user_guide/components:Required-methods' multiply defined Latexmk: Summary of warnings: Latex found 3 multiply defined reference(s) Collected error summary (may duplicate other messages): pdflatex: Command for 'pdflatex' gave return code 256 Latexmk: Errors, in force_mode: so I tried finishing targets [rtd-command-info] start-time: 2020-09-29T16:55:29.935742Z, end-time: 2020-09-29T16:55:30.025510Z, duration: 0, exit-code: 0 mv -f /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/checkouts/latest/docs/source/_build/latex/feature-labs-inc-evalml.pdf /home/docs/checkouts/readthedocs.org/user_builds/feature-labs-inc-evalml/artifacts/latest/sphinx_pdf/feature-labs-inc-evalml.pdf